diff --git a/RESOURCES/INTHEWILD.yaml b/RESOURCES/INTHEWILD.yaml
index 8a17a6e7044e..33f480b7d8b8 100644
--- a/RESOURCES/INTHEWILD.yaml
+++ b/RESOURCES/INTHEWILD.yaml
@@ -441,6 +441,11 @@ categories:
       url: https://bestpair.info/
       contributors: ["@stevensuting"]
 
+    - name: Veremes
+      url: https://www.veremes.com/
+      logo: veremes.svg
+      contributors: ["@verdier"]
+
     - name: Virtuoso QA
       url: https://www.virtuosoqa.com
 
diff --git a/docs/static/img/logos/veremes.svg b/docs/static/img/logos/veremes.svg
new file mode 100644
index 000000000000..ad75a4be868f
--- /dev/null
+++ b/docs/static/img/logos/veremes.svg
@@ -0,0 +1,51 @@
+<?xml version="1.0" encoding="utf-8"?>
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diff --git a/superset-frontend/package-lock.json b/superset-frontend/package-lock.json
index 0bf3828a0067..a2e478f5e8d2 100644
--- a/superset-frontend/package-lock.json
+++ b/superset-frontend/package-lock.json
@@ -69,7 +69,6 @@
         "@superset-ui/plugin-chart-world-map": "file:./plugins/plugin-chart-world-map",
         "@superset-ui/preset-chart-deckgl": "file:./plugins/preset-chart-deckgl",
         "@superset-ui/switchboard": "file:./packages/superset-ui-switchboard",
-        "@types/d3-format": "^3.0.1",
         "@types/d3-selection": "^3.0.11",
         "@types/d3-time-format": "^4.0.3",
         "@types/react-google-recaptcha": "^2.1.9",
@@ -179,7 +178,7 @@
         "@formatjs/intl-durationformat": "^0.10.18",
         "@istanbuljs/nyc-config-typescript": "^1.0.1",
         "@playwright/test": "^1.62.1",
-        "@pmmmwh/react-refresh-webpack-plugin": "^0.6.2",
+        "@pmmmwh/react-refresh-webpack-plugin": "^0.6.3",
         "@storybook/addon-docs": "10.5.10",
         "@storybook/addon-links": "10.5.10",
         "@storybook/react-webpack5": "10.5.10",
@@ -200,7 +199,7 @@
         "@types/json-bigint": "^1.0.4",
         "@types/lodash-es": "^4.17.12",
         "@types/mousetrap": "^1.6.15",
-        "@types/node": "^26.2.0",
+        "@types/node": "^26.3.0",
         "@types/react": "^18.3.0",
         "@types/react-dom": "^18.3.0",
         "@types/react-loadable": "^5.5.11",
@@ -254,8 +253,8 @@
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         "minimizer-webpack-plugin": "^5.6.1",
         "open-cli": "^9.0.0",
-        "oxfmt": "^0.64.0",
-        "oxlint": "^1.79.0",
+        "oxfmt": "^0.65.0",
+        "oxlint": "^1.80.0",
         "po2json": "^0.4.5",
         "postcss-styled-syntax": "^0.7.2",
         "process": "^0.11.10",
@@ -278,8 +277,8 @@
         "wait-on": "^9.1.0",
         "webpack": "^5.109.2",
         "webpack-bundle-analyzer": "^5.3.2",
-        "webpack-cli": "^7.0.3",
-        "webpack-dev-server": "^5.2.5",
+        "webpack-cli": "^7.2.3",
+        "webpack-dev-server": "^6.0.0",
         "webpack-manifest-plugin": "^6.0.1",
         "webpack-sources": "^3.5.1",
         "webpack-visualizer-plugin2": "^2.0.0"
@@ -4830,6 +4829,20 @@
         "node": ">=8"
       }
     },
+    "node_modules/@istanbuljs/load-nyc-config/node_modules/js-yaml": {
+      "version": "3.15.2",
+      "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-3.15.2.tgz",
+      "integrity": "sha512-6EuL879VkRA+1Cz578mKMiKvjPNEuk6+r1JaFzoSWejZmtf7xWbIyw1e3KkxlkzTIt9Taw6JBhEppG7utc1P+w==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "argparse": "^1.0.7",
+        "esprima": "^4.0.0"
+      },
+      "bin": {
+        "js-yaml": "bin/js-yaml.js"
+      }
+    },
     "node_modules/@istanbuljs/load-nyc-config/node_modules/locate-path": {
       "version": "5.0.0",
       "resolved": "https://registry.npmjs.org/locate-path/-/locate-path-5.0.0.tgz",
@@ -5609,14 +5622,14 @@
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-      "resolved": "https://registry.npmjs.org/@jsonjoy.com/fs-core/-/fs-core-4.57.3.tgz",
-      "integrity": "sha512-IvO50vkGydDZwS1e9rz/JXEtCCt9XvqxoGI6FlrVIvVm4/HpygMKW4ETtREWtMTsN5CLJ9FR6GuCduoQPZLBiw==",
+      "version": "4.68.2",
+      "resolved": "https://registry.npmjs.org/@jsonjoy.com/fs-core/-/fs-core-4.68.2.tgz",
+      "integrity": "sha512-PoBeUNEbjyLKKwCap2z8LkkqdhdfttS4rTHCALVuP65BdF+sAoyBqHo1m+uGTRBiQWv3H7MGfr8f7lY4pDwanw==",
       "dev": true,
       "license": "Apache-2.0",
       "dependencies": {
-        "@jsonjoy.com/fs-node-builtins": "4.57.3",
-        "@jsonjoy.com/fs-node-utils": "4.57.3",
+        "@jsonjoy.com/fs-node-builtins": "4.68.2",
+        "@jsonjoy.com/fs-node-utils": "4.68.2",
         "thingies": "^2.5.0"
       },
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@@ -5631,15 +5644,15 @@
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-      "resolved": "https://registry.npmjs.org/@jsonjoy.com/fs-fsa/-/fs-fsa-4.57.3.tgz",
-      "integrity": "sha512-JlIDGUWPl7Y6zl+/ISnZuh8z2aMr/xoR66D18zlaVAuL192CvlNJEzOlzp27x4P52HRtDnCSOk6f59vTsmp5vw==",
+      "version": "4.68.2",
+      "resolved": "https://registry.npmjs.org/@jsonjoy.com/fs-fsa/-/fs-fsa-4.68.2.tgz",
+      "integrity": "sha512-h6eGXlLGGMyPfNliDQrbuHKTB9Z29ksCLjreAmdBqrDOBdfrTrHssi+b9WLfrF+J2KzAbIt9OMjJu6AEpTnYkg==",
       "dev": true,
       "license": "Apache-2.0",
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-        "@jsonjoy.com/fs-core": "4.57.3",
-        "@jsonjoy.com/fs-node-builtins": "4.57.3",
-        "@jsonjoy.com/fs-node-utils": "4.57.3",
+        "@jsonjoy.com/fs-core": "4.68.2",
+        "@jsonjoy.com/fs-node-builtins": "4.68.2",
+        "@jsonjoy.com/fs-node-utils": "4.68.2",
         "thingies": "^2.5.0"
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@@ -5654,17 +5667,17 @@
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-      "resolved": "https://registry.npmjs.org/@jsonjoy.com/fs-node/-/fs-node-4.57.3.tgz",
-      "integrity": "sha512-089gZoKvbeOsT2jeBaVKSz91oFXQWFG7a62sMY6gVMHnoWbyGzTb6OVUP/V7G3wLQLJ555BEsHt8SD1nj1dgaQ==",
+      "version": "4.68.2",
+      "resolved": "https://registry.npmjs.org/@jsonjoy.com/fs-node/-/fs-node-4.68.2.tgz",
+      "integrity": "sha512-Kpj519Qk4OXG4+mZ8vTf9BEflliJrPueIDEVcbx8tAOufMJJ8IxR0WwdbcEvJol2KQog3PJjtALXVclorE+xbQ==",
       "dev": true,
       "license": "Apache-2.0",
       "dependencies": {
-        "@jsonjoy.com/fs-core": "4.57.3",
-        "@jsonjoy.com/fs-node-builtins": "4.57.3",
-        "@jsonjoy.com/fs-node-utils": "4.57.3",
-        "@jsonjoy.com/fs-print": "4.57.3",
-        "@jsonjoy.com/fs-snapshot": "4.57.3",
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+        "@types/qs": "*",
+        "@types/range-parser": "*",
+        "@types/send": "*"
+      }
+    },
+    "node_modules/webpack-dev-server/node_modules/@types/serve-static": {
+      "version": "2.2.0",
+      "resolved": "https://registry.npmjs.org/@types/serve-static/-/serve-static-2.2.0.tgz",
+      "integrity": "sha512-8mam4H1NHLtu7nmtalF7eyBH14QyOASmcxHhSfEoRyr0nP/YdoesEtU+uSRvMe96TW/HPTtkoKqQLl53N7UXMQ==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@types/http-errors": "*",
+        "@types/node": "*"
+      }
     },
     "node_modules/webpack-dev-server/node_modules/@types/ws": {
       "version": "8.18.1",
@@ -41361,47 +41267,64 @@
         "@types/node": "*"
       }
     },
-    "node_modules/webpack-dev-server/node_modules/ipaddr.js": {
-      "version": "2.4.0",
-      "resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-2.4.0.tgz",
-      "integrity": "sha512-9VGk3HGanVE6JoZXHiCpnGy5X0jYDnN4EA4lntFPj+1vIWlFhIylq2CrrCOJH9EAhc5CYhq18F2Av2tgoAPsYQ==",
+    "node_modules/webpack-dev-server/node_modules/chokidar": {
+      "version": "5.0.0",
+      "resolved": "https://registry.npmjs.org/chokidar/-/chokidar-5.0.0.tgz",
+      "integrity": "sha512-TQMmc3w+5AxjpL8iIiwebF73dRDF4fBIieAqGn9RGCWaEVwQ6Fb2cGe31Yns0RRIzii5goJ1Y7xbMwo1TxMplw==",
       "dev": true,
       "license": "MIT",
+      "dependencies": {
+        "readdirp": "^5.0.0"
+      },
       "engines": {
-        "node": ">= 10"
+        "node": ">= 20.19.0"
+      },
+      "funding": {
+        "url": "https://paulmillr.com/funding/"
       }
     },
-    "node_modules/webpack-dev-server/node_modules/is-wsl": {
-      "version": "3.1.1",
-      "resolved": "https://registry.npmjs.org/is-wsl/-/is-wsl-3.1.1.tgz",
-      "integrity": "sha512-e6rvdUCiQCAuumZslxRJWR/Doq4VpPR82kqclvcS0efgt430SlGIk05vdCN58+VrzgtIcfNODjozVielycD4Sw==",
+    "node_modules/webpack-dev-server/node_modules/default-browser": {
+      "version": "5.5.1",
+      "resolved": "https://registry.npmjs.org/default-browser/-/default-browser-5.5.1.tgz",
+      "integrity": "sha512-m1pAzaJgZ/gssEqlOhJkPJp8Xly7QyW6xcrkUa2KKcDeDSEMP7X8xipU3snUcfisTQx0w1AGae+9UtJSfVnXGw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "is-inside-container": "^1.0.0"
+        "bundle-name": "^4.1.0",
+        "default-browser-id": "^5.0.0"
       },
       "engines": {
-        "node": ">=16"
+        "node": ">=18"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/webpack-dev-server/node_modules/ipaddr.js": {
+      "version": "2.4.0",
+      "resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-2.4.0.tgz",
+      "integrity": "sha512-9VGk3HGanVE6JoZXHiCpnGy5X0jYDnN4EA4lntFPj+1vIWlFhIylq2CrrCOJH9EAhc5CYhq18F2Av2tgoAPsYQ==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">= 10"
+      }
+    },
     "node_modules/webpack-dev-server/node_modules/memfs": {
-      "version": "4.57.3",
-      "resolved": "https://registry.npmjs.org/memfs/-/memfs-4.57.3.tgz",
-      "integrity": "sha512-dlvqataP1zUOlfj6pv9wgCSC5pRIooNntXgdLfR7FWlcKi1p8fMfJADtHp/+8Dhu5JFvMHNh7L0QVcuaaBKqqA==",
+      "version": "4.68.2",
+      "resolved": "https://registry.npmjs.org/memfs/-/memfs-4.68.2.tgz",
+      "integrity": "sha512-Un1ElEBoIdPI9kg0sm3LebVEuEViodfIvlaG8Z1MFXa7ZnR9vWuPKUo3dt/vuWY2ivc05l76B5QOjdgCzAzmGw==",
       "dev": true,
       "license": "Apache-2.0",
       "dependencies": {
-        "@jsonjoy.com/fs-core": "4.57.3",
-        "@jsonjoy.com/fs-fsa": "4.57.3",
-        "@jsonjoy.com/fs-node": "4.57.3",
-        "@jsonjoy.com/fs-node-builtins": "4.57.3",
-        "@jsonjoy.com/fs-node-to-fsa": "4.57.3",
-        "@jsonjoy.com/fs-node-utils": "4.57.3",
-        "@jsonjoy.com/fs-print": "4.57.3",
-        "@jsonjoy.com/fs-snapshot": "4.57.3",
+        "@jsonjoy.com/fs-core": "4.68.2",
+        "@jsonjoy.com/fs-fsa": "4.68.2",
+        "@jsonjoy.com/fs-node": "4.68.2",
+        "@jsonjoy.com/fs-node-builtins": "4.68.2",
+        "@jsonjoy.com/fs-node-to-fsa": "4.68.2",
+        "@jsonjoy.com/fs-node-utils": "4.68.2",
+        "@jsonjoy.com/fs-print": "4.68.2",
+        "@jsonjoy.com/fs-snapshot": "4.68.2",
         "@jsonjoy.com/json-pack": "^1.11.0",
         "@jsonjoy.com/util": "^1.9.0",
         "glob-to-regex.js": "^1.0.1",
@@ -41412,9 +41335,6 @@
       "funding": {
         "type": "github",
         "url": "https://github.com/sponsors/streamich"
-      },
-      "peerDependencies": {
-        "tslib": "2"
       }
     },
     "node_modules/webpack-dev-server/node_modules/mime-db": {
@@ -41445,65 +41365,74 @@
       }
     },
     "node_modules/webpack-dev-server/node_modules/open": {
-      "version": "10.2.0",
-      "resolved": "https://registry.npmjs.org/open/-/open-10.2.0.tgz",
-      "integrity": "sha512-YgBpdJHPyQ2UE5x+hlSXcnejzAvD0b22U2OuAP+8OnlJT+PjWPxtgmGqKKc+RgTM63U9gN0YzrYc71R2WT/hTA==",
+      "version": "11.0.2",
+      "resolved": "https://registry.npmjs.org/open/-/open-11.0.2.tgz",
+      "integrity": "sha512-RWqF+pBSkqecEvCKOn8QYhaNdRMJDZRIrlS/7rTDdLHaPcfXGCZ/h8zb413NfvdeAV0MR7T1yJcA34/q+CSm1Q==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "default-browser": "^5.2.1",
+        "default-browser": "^5.5.1",
         "define-lazy-prop": "^3.0.0",
+        "is-in-ssh": "^1.0.0",
         "is-inside-container": "^1.0.0",
-        "wsl-utils": "^0.1.0"
+        "powershell-utils": "^0.2.1",
+        "wsl-utils": "^1.0.0"
       },
       "engines": {
-        "node": ">=18"
+        "node": ">=20"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
-    "node_modules/webpack-dev-server/node_modules/p-retry": {
-      "version": "6.2.1",
-      "resolved": "https://registry.npmjs.org/p-retry/-/p-retry-6.2.1.tgz",
-      "integrity": "sha512-hEt02O4hUct5wtwg4H4KcWgDdm+l1bOaEy/hWzd8xtXB9BqxTWBBhb+2ImAtH4Cv4rPjV76xN3Zumqk3k3AhhQ==",
+    "node_modules/webpack-dev-server/node_modules/powershell-utils": {
+      "version": "0.2.1",
+      "resolved": "https://registry.npmjs.org/powershell-utils/-/powershell-utils-0.2.1.tgz",
+      "integrity": "sha512-C+y9x90UElAddDZmV4qOx9W53B61PO7cIqWz2dQsWlwswuq4mr8NEwytdGKboYbQlGZ3awrkTeNvcZiZNHnQ8A==",
       "dev": true,
       "license": "MIT",
-      "dependencies": {
-        "@types/retry": "0.12.2",
-        "is-network-error": "^1.0.0",
-        "retry": "^0.13.1"
-      },
       "engines": {
-        "node": ">=16.17"
+        "node": ">=20"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/webpack-dev-server/node_modules/readdirp": {
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/readdirp/-/readdirp-5.1.1.tgz",
+      "integrity": "sha512-Kko+Y5XQ6fM+Ce3dq3m9YGxnacYZYl9cA1wZjaF3Vbry2L3i1qVg8+CAgNPsXRArPMUMCaOR7oa9Nqntc43JKA==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">= 20.19.0"
+      },
+      "funding": {
+        "type": "individual",
+        "url": "https://paulmillr.com/funding/"
+      }
+    },
     "node_modules/webpack-dev-server/node_modules/webpack-dev-middleware": {
-      "version": "7.4.5",
-      "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-7.4.5.tgz",
-      "integrity": "sha512-uxQ6YqGdE4hgDKNf7hUiPXOdtkXvBJXrfEGYSx7P7LC8hnUYGK70X6xQXUvXeNyBDDcsiQXpG2m3G9vxowaEuA==",
+      "version": "8.1.1",
+      "resolved": "https://registry.npmjs.org/webpack-dev-middleware/-/webpack-dev-middleware-8.1.1.tgz",
+      "integrity": "sha512-JrxAE/HwNmEnTkzkUGHFItHpGalzuEIUDifXhjAkIEHZzHK/ZJFVoTQF5ubZQlgeRireqLdr2lZttrrmOH61IA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "colorette": "^2.0.10",
-        "memfs": "^4.43.1",
-        "mime-types": "^3.0.1",
-        "on-finished": "^2.4.1",
+        "memfs": "^4.56.10",
+        "mime-types": "^3.0.2",
         "range-parser": "^1.2.1",
-        "schema-utils": "^4.0.0"
+        "schema-utils": "^4.3.3"
       },
       "engines": {
-        "node": ">= 18.12.0"
+        "node": ">= 20.9.0"
       },
       "funding": {
         "type": "opencollective",
         "url": "https://opencollective.com/webpack"
       },
       "peerDependencies": {
-        "webpack": "^5.0.0"
+        "webpack": "^5.101.0"
       },
       "peerDependenciesMeta": {
         "webpack": {
@@ -41512,16 +41441,30 @@
       }
     },
     "node_modules/webpack-dev-server/node_modules/wsl-utils": {
-      "version": "0.1.0",
-      "resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.1.0.tgz",
-      "integrity": "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==",
+      "version": "1.0.0",
+      "resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-1.0.0.tgz",
+      "integrity": "sha512-Hl0ZOAs672vg+06kfujwRhoS6/jehvULrlFkuF2dRu6pHgA8U06h3xqNIqNNU1LTXPcedxByAR4GS6pwQK0mgA==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
-        "is-wsl": "^3.1.0"
+        "is-wsl": "^3.1.0",
+        "powershell-utils": "^0.1.0"
       },
       "engines": {
-        "node": ">=18"
+        "node": ">=20"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/webpack-dev-server/node_modules/wsl-utils/node_modules/powershell-utils": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/powershell-utils/-/powershell-utils-0.1.0.tgz",
+      "integrity": "sha512-dM0jVuXJPsDN6DvRpea484tCUaMiXWjuCn++HGTqUWzGDjv5tZkEZldAJ/UMlqRYGFrD/etByo4/xOuC/snX2A==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=20"
       },
       "funding": {
         "url": "https://github.com/sponsors/sindresorhus"
@@ -41648,31 +41591,6 @@
         "node": ">= 0.6"
       }
     },
-    "node_modules/websocket-driver": {
-      "version": "0.7.5",
-      "resolved": "https://registry.npmjs.org/websocket-driver/-/websocket-driver-0.7.5.tgz",
-      "integrity": "sha512-ZL2+3c7kMBdIRCMz6l8jQMHyGVxj+UL+xVk74Ombiciboca8rHa15L86B19E5oh1pL9Ii/uj54gtsIrZGMo6zA==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "dependencies": {
-        "http-parser-js": ">=0.5.1",
-        "safe-buffer": ">=5.1.0",
-        "websocket-extensions": ">=0.1.1"
-      },
-      "engines": {
-        "node": ">=0.8.0"
-      }
-    },
-    "node_modules/websocket-extensions": {
-      "version": "0.1.4",
-      "resolved": "https://registry.npmjs.org/websocket-extensions/-/websocket-extensions-0.1.4.tgz",
-      "integrity": "sha512-OqedPIGOfsDlo31UNwYbCFMSaO9m9G/0faIHj5/dZFDMFqPTcx6UwqyOy3COEaEOg/9VsGIpdqn62W5KhoKSpg==",
-      "dev": true,
-      "license": "Apache-2.0",
-      "engines": {
-        "node": ">=0.8.0"
-      }
-    },
     "node_modules/wgsl_reflect": {
       "version": "1.2.3",
       "resolved": "https://registry.npmjs.org/wgsl_reflect/-/wgsl_reflect-1.2.3.tgz",
@@ -42974,6 +42892,7 @@
         "@apache-superset/core": "*",
         "@babel/runtime": "^7.29.7",
         "@braintree/sanitize-url": "^7.1.2",
+        "@types/d3-format": "^3.0.4",
         "@types/json-bigint": "^1.0.4",
         "@visx/responsive": "^4.0.0",
         "ace-builds": "^1.44.0",
@@ -43017,14 +42936,13 @@
       },
       "devDependencies": {
         "@emotion/styled": "^11.14.1",
-        "@types/d3-format": "^3.0.4",
         "@types/d3-interpolate": "^3.0.4",
         "@types/d3-scale": "^4.0.9",
         "@types/d3-time": "^3.0.4",
         "@types/d3-time-format": "^4.0.3",
         "@types/jquery": "^4.0.1",
         "@types/lodash": "^4.17.25",
-        "@types/node": "^26.2.0",
+        "@types/node": "^26.3.0",
         "@types/prop-types": "^15.7.15",
         "@types/react-syntax-highlighter": "^15.5.13",
         "@types/react-table": "^7.7.20",
diff --git a/superset-frontend/package.json b/superset-frontend/package.json
index 5caad3aa328b..986502daff7c 100644
--- a/superset-frontend/package.json
+++ b/superset-frontend/package.json
@@ -146,7 +146,6 @@
     "@superset-ui/plugin-chart-world-map": "file:./plugins/plugin-chart-world-map",
     "@superset-ui/preset-chart-deckgl": "file:./plugins/preset-chart-deckgl",
     "@superset-ui/switchboard": "file:./packages/superset-ui-switchboard",
-    "@types/d3-format": "^3.0.1",
     "@types/d3-selection": "^3.0.11",
     "@types/d3-time-format": "^4.0.3",
     "@types/react-google-recaptcha": "^2.1.9",
@@ -256,7 +255,7 @@
     "@formatjs/intl-durationformat": "^0.10.18",
     "@istanbuljs/nyc-config-typescript": "^1.0.1",
     "@playwright/test": "^1.62.1",
-    "@pmmmwh/react-refresh-webpack-plugin": "^0.6.2",
+    "@pmmmwh/react-refresh-webpack-plugin": "^0.6.3",
     "@storybook/addon-docs": "10.5.10",
     "@storybook/addon-links": "10.5.10",
     "@storybook/react-webpack5": "10.5.10",
@@ -277,7 +276,7 @@
     "@types/json-bigint": "^1.0.4",
     "@types/lodash-es": "^4.17.12",
     "@types/mousetrap": "^1.6.15",
-    "@types/node": "^26.2.0",
+    "@types/node": "^26.3.0",
     "@types/react": "^18.3.0",
     "@types/react-dom": "^18.3.0",
     "@types/react-loadable": "^5.5.11",
@@ -331,8 +330,8 @@
     "mini-css-extract-plugin": "^2.10.2",
     "minimizer-webpack-plugin": "^5.6.1",
     "open-cli": "^9.0.0",
-    "oxfmt": "^0.64.0",
-    "oxlint": "^1.79.0",
+    "oxfmt": "^0.65.0",
+    "oxlint": "^1.80.0",
     "po2json": "^0.4.5",
     "postcss-styled-syntax": "^0.7.2",
     "process": "^0.11.10",
@@ -355,8 +354,8 @@
     "wait-on": "^9.1.0",
     "webpack": "^5.109.2",
     "webpack-bundle-analyzer": "^5.3.2",
-    "webpack-cli": "^7.0.3",
-    "webpack-dev-server": "^5.2.5",
+    "webpack-cli": "^7.2.3",
+    "webpack-dev-server": "^6.0.0",
     "webpack-manifest-plugin": "^6.0.1",
     "webpack-sources": "^3.5.1",
     "webpack-visualizer-plugin2": "^2.0.0"
diff --git a/superset-frontend/packages/superset-ui-core/package.json b/superset-frontend/packages/superset-ui-core/package.json
index a048d31e6adb..7c2330f572cc 100644
--- a/superset-frontend/packages/superset-ui-core/package.json
+++ b/superset-frontend/packages/superset-ui-core/package.json
@@ -53,6 +53,7 @@
     "@apache-superset/core": "*",
     "@babel/runtime": "^7.29.7",
     "@braintree/sanitize-url": "^7.1.2",
+    "@types/d3-format": "^3.0.4",
     "@types/json-bigint": "^1.0.4",
     "@visx/responsive": "^4.0.0",
     "ace-builds": "^1.44.0",
@@ -96,14 +97,13 @@
   },
   "devDependencies": {
     "@emotion/styled": "^11.14.1",
-    "@types/d3-format": "^3.0.4",
     "@types/d3-interpolate": "^3.0.4",
     "@types/d3-scale": "^4.0.9",
     "@types/d3-time": "^3.0.4",
     "@types/d3-time-format": "^4.0.3",
     "@types/jquery": "^4.0.1",
     "@types/lodash": "^4.17.25",
-    "@types/node": "^26.2.0",
+    "@types/node": "^26.3.0",
     "@types/prop-types": "^15.7.15",
     "@types/react-syntax-highlighter": "^15.5.13",
     "@types/react-table": "^7.7.20",
diff --git a/superset-frontend/packages/superset-ui-core/src/number-format/index.ts b/superset-frontend/packages/superset-ui-core/src/number-format/index.ts
index d6d6096d8fcf..87b6633feb03 100644
--- a/superset-frontend/packages/superset-ui-core/src/number-format/index.ts
+++ b/superset-frontend/packages/superset-ui-core/src/number-format/index.ts
@@ -19,6 +19,8 @@
 
 export { default as NumberFormats } from './NumberFormats';
 export { default as NumberFormatter, PREVIEW_VALUE } from './NumberFormatter';
+export { formatSpecifier } from 'd3-format';
+export type { FormatLocaleDefinition } from 'd3-format';
 export { DEFAULT_D3_FORMAT } from './D3FormatConfig';
 
 export {
diff --git a/superset-frontend/plugins/plugin-chart-echarts/src/MixedTimeseries/transformProps.ts b/superset-frontend/plugins/plugin-chart-echarts/src/MixedTimeseries/transformProps.ts
index 8a9bae65b6e5..10c8014c97af 100644
--- a/superset-frontend/plugins/plugin-chart-echarts/src/MixedTimeseries/transformProps.ts
+++ b/superset-frontend/plugins/plugin-chart-echarts/src/MixedTimeseries/transformProps.ts
@@ -73,6 +73,8 @@ import {
   getLegendProps,
   getMinAndMaxFromBounds,
   getOverMaxHiddenFormatter,
+  getTemporalAxisTickConfig,
+  resolveTemporalTickValues,
 } from '../utils/series';
 import { resolveLegendLayout } from '../utils/legendLayout';
 import {
@@ -764,6 +766,26 @@ export default function transformProps(
   const { setDataMask = () => {}, onContextMenu } = hooks;
   const alignTicks = yAxisIndex !== yAxisIndexB;
 
+  // Both queries share the axis, so a bucket contributed by either needs a tick.
+  const temporalTickValues = resolveTemporalTickValues(
+    [...rebasedDataA, ...rebasedDataB],
+    xAxisLabel,
+    xAxisType,
+    resolvedTimeGrain,
+    annotationLayers,
+  );
+
+  const temporalAxisTickConfig = getTemporalAxisTickConfig(
+    temporalTickValues,
+    showMaxLabel,
+    xAxisType,
+    xAxisLabelRotation,
+    xAxisLabelInterval,
+    deduplicatedFormatter,
+    false,
+    zoomable,
+  );
+
   const echartOptions: EChartsCoreOption = {
     useUTC: true,
     grid: {
@@ -775,22 +797,12 @@ export default function transformProps(
       name: xAxisTitle,
       nameGap: xAxisTitleMarginPx,
       nameLocation: 'middle',
-      axisLabel: {
-        hideOverlap: showMaxLabel
-          ? false
-          : !(xAxisType === AxisType.Time && xAxisLabelRotation !== 0),
-        formatter: deduplicatedFormatter,
-        rotate: xAxisLabelRotation,
-        interval: xAxisLabelInterval,
-        ...(showMaxLabel && {
-          showMaxLabel: true,
-          alignMaxLabel: 'right',
-          showMinLabel: true,
-          alignMinLabel: 'left',
-        }),
-      },
+      ...temporalAxisTickConfig,
       minorTick: { show: minorTicks },
-      axisTick: { show: axisTicks ? 'auto' : false },
+      axisTick: {
+        ...temporalAxisTickConfig.axisTick,
+        show: axisTicks ? 'auto' : false,
+      },
       ...(gridlines ? {} : { splitLine: { show: false } }),
       minInterval:
         xAxisType === AxisType.Time && resolvedTimeGrain && !forceMaxInterval
diff --git a/superset-frontend/plugins/plugin-chart-echarts/src/Timeseries/transformProps.ts b/superset-frontend/plugins/plugin-chart-echarts/src/Timeseries/transformProps.ts
index a67d373f2c91..427847854e1c 100644
--- a/superset-frontend/plugins/plugin-chart-echarts/src/Timeseries/transformProps.ts
+++ b/superset-frontend/plugins/plugin-chart-echarts/src/Timeseries/transformProps.ts
@@ -88,6 +88,8 @@ import {
   getHorizontalLegendAvailableWidth,
   getLegendProps,
   getMinAndMaxFromBounds,
+  getTemporalAxisTickConfig,
+  resolveTemporalTickValues,
 } from '../utils/series';
 import { resolveLegendLayout } from '../utils/legendLayout';
 import {
@@ -1247,6 +1249,25 @@ export default function transformProps(
       })()
     : xAxisFormatter;
 
+  const temporalTickValues = resolveTemporalTickValues(
+    rebasedData,
+    xAxisLabel,
+    xAxisType,
+    resolvedTimeGrain,
+    annotationLayers,
+  );
+
+  const temporalAxisTickConfig = getTemporalAxisTickConfig(
+    temporalTickValues,
+    showMaxLabel,
+    xAxisType,
+    xAxisLabelRotation,
+    xAxisLabelInterval,
+    deduplicatedFormatter,
+    isHorizontal,
+    zoomable,
+  );
+
   let xAxis: any = {
     type: xAxisType,
     name: xAxisTitle,
@@ -1256,38 +1277,12 @@ export default function transformProps(
       groupBy.length === 0 && {
         triggerEvent: true,
       }),
-    axisLabel: {
-      // When rotation is applied on time axes, hideOverlap can
-      // aggressively hide the last label. Rotated labels already
-      // have less overlap, so disabling hideOverlap is safe.
-      // At 0° rotation, also disable hideOverlap when showMaxLabel
-      // is active so the forced boundary label is never suppressed
-      // by ECharts' overlap detection (#39899).
-      hideOverlap: showMaxLabel
-        ? false
-        : !(xAxisType === AxisType.Time && xAxisLabelRotation !== 0),
-      formatter: deduplicatedFormatter,
-      rotate: xAxisLabelRotation,
-      interval: xAxisLabelInterval,
-      // Force the boundary labels on non-rotated time axes so the first
-      // and last dates stay visible: hideOverlap can hide the last label,
-      // and a min date that falls between "nice" ticks otherwise renders
-      // no beginning label. Skipped when rotated to avoid phantom labels
-      // at the axis boundary.
-      ...(showMaxLabel && {
-        showMaxLabel: true,
-        showMinLabel: true,
-      }),
-      // The alignments assume the axis runs along the bottom; a horizontal
-      // chart puts this axis on the side, where they misplace the labels.
-      ...(showMaxLabel &&
-        !isHorizontal && {
-          alignMaxLabel: 'right',
-          alignMinLabel: 'left',
-        }),
-    },
+    ...temporalAxisTickConfig,
     minorTick: { show: minorTicks },
-    axisTick: { show: axisTicks ? 'auto' : false },
+    axisTick: {
+      ...temporalAxisTickConfig.axisTick,
+      show: axisTicks ? 'auto' : false,
+    },
     ...(gridlines ? {} : { splitLine: { show: false } }),
     minInterval:
       xAxisType === AxisType.Time && resolvedTimeGrain && !forceMaxInterval
diff --git a/superset-frontend/plugins/plugin-chart-echarts/src/constants.ts b/superset-frontend/plugins/plugin-chart-echarts/src/constants.ts
index 3044bf10d704..2b94967ae003 100644
--- a/superset-frontend/plugins/plugin-chart-echarts/src/constants.ts
+++ b/superset-frontend/plugins/plugin-chart-echarts/src/constants.ts
@@ -89,6 +89,16 @@ export const StackControlOptionsWithoutStream: [
   [StackControlsValue.Stack, t('Stack')],
 ];
 
+// Grains ECharts' time axis cannot tick on; see getTemporalTickValues in
+// utils/series.
+export const WEEKLY_TIME_GRAINS: ReadonlySet<string> = new Set([
+  TimeGranularity.WEEK,
+  TimeGranularity.WEEK_STARTING_SUNDAY,
+  TimeGranularity.WEEK_STARTING_MONDAY,
+  TimeGranularity.WEEK_ENDING_SATURDAY,
+  TimeGranularity.WEEK_ENDING_SUNDAY,
+]);
+
 export const TIMEGRAIN_TO_TIMESTAMP = {
   [TimeGranularity.HOUR]: 3600 * 1000,
   [TimeGranularity.DAY]: 3600 * 1000 * 24,
diff --git a/superset-frontend/plugins/plugin-chart-echarts/src/utils/series.ts b/superset-frontend/plugins/plugin-chart-echarts/src/utils/series.ts
index cdfaaf78c185..6ededf12ac3a 100644
--- a/superset-frontend/plugins/plugin-chart-echarts/src/utils/series.ts
+++ b/superset-frontend/plugins/plugin-chart-echarts/src/utils/series.ts
@@ -18,12 +18,14 @@
  * under the License.
  */
 import {
+  AnnotationLayer,
   AxisType,
   ChartDataResponseResult,
   DataRecord,
   DataRecordValue,
   DTTM_ALIAS,
   ensureIsArray,
+  isTimeseriesAnnotationLayer,
   LegendState,
   normalizeTimestamp,
   NumberFormats,
@@ -42,6 +44,7 @@ import {
   NULL_STRING,
   StackControlsValue,
   TIMESERIES_CONSTANTS,
+  WEEKLY_TIME_GRAINS,
 } from '../constants';
 import {
   EchartsTimeseriesSeriesType,
@@ -986,6 +989,167 @@ export function getAxisType(
   return AxisType.Category;
 }
 
+// `new Date('2024-04-06')` parses as UTC, but ECharts' own date parser treats
+// zone-less strings as local time — mismatch would offset the pinned tick.
+const DATE_ONLY_RE = /^(\d{4})(?:-(\d{1,2})(?:-(\d{1,2}))?)?$/;
+
+function parseTemporalString(value: string): number {
+  const dateOnly = DATE_ONLY_RE.exec(value);
+  if (dateOnly) {
+    const [, year, month, day] = dateOnly;
+    return new Date(
+      Number(year),
+      Number(month || 1) - 1,
+      Number(day || 1),
+    ).getTime();
+  }
+  return new Date(value).getTime();
+}
+
+/**
+ * Bucket timestamps a temporal axis should tick on, or undefined to let ECharts
+ * choose.
+ *
+ * ECharts generates time ticks from a calendar ladder with no week unit, so for
+ * weekly data it steps days from the 1st of each month instead: labels drift
+ * across weekdays and snap to month starts (#17226). Coarser grains already land
+ * on their data and keep ECharts' calendar-nice labels.
+ */
+export function getTemporalTickValues(
+  data: DataRecord[],
+  xAxisLabel: string,
+  xAxisType: AxisType,
+  timeGrain?: string,
+): number[] | undefined {
+  if (
+    xAxisType !== AxisType.Time ||
+    !timeGrain ||
+    !WEEKLY_TIME_GRAINS.has(timeGrain)
+  ) {
+    return undefined;
+  }
+  const values = new Set<number>();
+  data.forEach(row => {
+    const value = row[xAxisLabel];
+    const timestamp =
+      // eslint-disable-next-line no-nested-ternary
+      value instanceof Date
+        ? value.getTime()
+        : typeof value === 'string'
+          ? parseTemporalString(value)
+          : Number(value ?? NaN);
+    if (Number.isFinite(timestamp)) {
+      values.add(timestamp);
+    }
+  });
+  return values.size ? [...values].sort((a, b) => a - b) : undefined;
+}
+
+/**
+ * Weekly grains: pin the ticks to the buckets ECharts would otherwise miss.
+ * A timeseries annotation contributes its own timestamps and widens the axis
+ * past the buckets, and ECharts clips pinned ticks to the extent, so that
+ * span would render bare — leave those charts on ECharts' own ticks.
+ */
+export function resolveTemporalTickValues(
+  data: DataRecord[],
+  xAxisLabel: string,
+  xAxisType: AxisType,
+  timeGrain: string | undefined,
+  annotationLayers: AnnotationLayer[],
+): number[] | undefined {
+  const hasTimeseriesAnnotation = annotationLayers.some(
+    layer => layer.show && isTimeseriesAnnotationLayer(layer),
+  );
+  return hasTimeseriesAnnotation
+    ? undefined
+    : getTemporalTickValues(data, xAxisLabel, xAxisType, timeGrain);
+}
+
+// Unlike axisLabel, axisTick has no overlap-based thinning, so pinning it to
+// every bucket combs a long weekly range. Downsample evenly, keeping ends.
+const MAX_PINNED_AXIS_TICKS = 60;
+
+export function capTickMarks(
+  values: number[],
+  maxTicks: number = MAX_PINNED_AXIS_TICKS,
+): number[] {
+  if (values.length <= maxTicks) {
+    return values;
+  }
+  const step = Math.ceil(values.length / maxTicks);
+  const capped = values.filter((_, index) => index % step === 0);
+  const last = values[values.length - 1];
+  if (capped[capped.length - 1] !== last) {
+    capped.push(last);
+  }
+  return capped;
+}
+
+/**
+ * axisLabel/axisTick fragment for a temporal x-axis, shared by Timeseries and
+ * MixedTimeseries. When temporalTickValues pins the axis to weekly buckets,
+ * axisTick.customValues (what splitLine/gridlines follow) is downsampled to
+ * avoid combing a long weekly range. axisLabel.customValues (what hideOverlap
+ * thins from) uses the same capped set on a non-zoomable axis, so a label
+ * surviving hideOverlap thinning always lands on a real tick and gridline
+ * rather than a capped-away bucket. On a zoomable axis the full set is used
+ * instead — zooming lets the user reach any bucket, but customValues never
+ * recomputes on dataZoom, so a capped set there would freeze the visible
+ * labels to the pre-zoom subset.
+ */
+export function getTemporalAxisTickConfig(
+  temporalTickValues: number[] | undefined,
+  showMaxLabel: boolean,
+  xAxisType: AxisType,
+  xAxisLabelRotation: number,
+  xAxisLabelInterval: number | string | undefined,
+  formatter: unknown,
+  isHorizontal: boolean = false,
+  zoomable: boolean = false,
+): {
+  axisLabel: Record<string, unknown>;
+  axisTick?: { customValues: number[] };
+} {
+  const cappedTickValues = temporalTickValues
+    ? capTickMarks(temporalTickValues)
+    : undefined;
+  const labelCustomValues = zoomable ? temporalTickValues : cappedTickValues;
+  return {
+    axisLabel: {
+      // Pinned ticks label every bucket, which does crowd, so thinning
+      // always wins there.
+      hideOverlap:
+        !!temporalTickValues ||
+        (showMaxLabel
+          ? false
+          : !(xAxisType === AxisType.Time && xAxisLabelRotation !== 0)),
+      formatter,
+      rotate: xAxisLabelRotation,
+      interval: xAxisLabelInterval,
+      // Force the boundary labels so the first and last dates stay visible:
+      // hideOverlap can hide the last label, and a min date that falls
+      // between "nice" ticks otherwise renders no beginning label. Applied
+      // for pinned axes too — showMaxLabel only shields its immediate
+      // neighbour, so a farther label on a crowded weekly axis can still be
+      // dropped, but that's strictly better than no shielding at all.
+      ...(showMaxLabel && {
+        showMaxLabel: true,
+        showMinLabel: true,
+      }),
+      // The alignments assume the axis runs along the bottom; a horizontal
+      // chart puts this axis on the side, where they misplace the labels.
+      ...(showMaxLabel &&
+        !isHorizontal && {
+          alignMaxLabel: 'right',
+          alignMinLabel: 'left',
+        }),
+      ...(labelCustomValues && { customValues: labelCustomValues }),
+    },
+    ...(cappedTickValues && { axisTick: { customValues: cappedTickValues } }),
+  };
+}
+
 export function getOverMaxHiddenFormatter(
   config: {
     max?: number;
diff --git a/superset-frontend/plugins/plugin-chart-echarts/test/MixedTimeseries/transformProps.test.ts b/superset-frontend/plugins/plugin-chart-echarts/test/MixedTimeseries/transformProps.test.ts
index d2a158a6e068..4004babdbcba 100644
--- a/superset-frontend/plugins/plugin-chart-echarts/test/MixedTimeseries/transformProps.test.ts
+++ b/superset-frontend/plugins/plugin-chart-echarts/test/MixedTimeseries/transformProps.test.ts
@@ -1512,6 +1512,98 @@ describe('EchartsMixedTimeseries tooltip truncation', () => {
   });
 });
 
+describe('weekly x-axis tick alignment', () => {
+  const WEEK_MS = 7 * 24 * 3600 * 1000;
+  const MONDAYS = Array.from(
+    { length: 6 },
+    (_, i) => Date.UTC(2026, 3, 6) + i * WEEK_MS,
+  );
+  const weeklyLabelMap = { ds: ['ds'], sum__num: ['sum__num'] };
+
+  const weeklyQuery = (timestamps: number[]) =>
+    createTestQueryData(
+      timestamps.map((ds, i) => ({ ds, sum__num: 10 + i })),
+      {
+        label_map: weeklyLabelMap,
+        colnames: ['ds', 'sum__num'],
+        coltypes: [GenericDataType.Temporal, GenericDataType.Numeric],
+      },
+    );
+
+  const weeklyChartProps = (
+    queryA: number[],
+    queryB: number[],
+    overrides: Partial<EchartsMixedTimeseriesFormData> = {},
+  ) =>
+    createEchartsTimeseriesTestChartProps<
+      EchartsMixedTimeseriesFormData,
+      EchartsMixedTimeseriesProps
+    >({
+      ...MIXED_TIMESERIES_CHART_PROPS_DEFAULTS,
+      defaultQueriesData: [weeklyQuery(queryA), weeklyQuery(queryB)],
+      formData: {
+        ...formData,
+        groupby: [],
+        groupbyB: [],
+        timeGrainSqla: TimeGranularity.WEEK_STARTING_MONDAY,
+        ...overrides,
+      },
+      queriesData: [weeklyQuery(queryA), weeklyQuery(queryB)],
+    });
+
+  test('pins ticks, labels and gridlines to the weekly buckets', () => {
+    const { xAxis } = transformProps(weeklyChartProps(MONDAYS, MONDAYS))
+      .echartOptions as any;
+
+    expect(xAxis.type).toBe(AxisType.Time);
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+    // Gridlines follow axisTick.customValues, so splitLine needs no own copy.
+    expect(xAxis.axisTick.customValues).toEqual(MONDAYS);
+    expect(xAxis.splitLine).toBeUndefined();
+  });
+
+  test('keeps label thinning on when the labels are rotated', () => {
+    const { xAxis } = transformProps(
+      weeklyChartProps(MONDAYS, MONDAYS, { xAxisLabelRotation: 45 }),
+    ).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+    expect(xAxis.axisLabel.hideOverlap).toBe(true);
+  });
+
+  test('keeps the showMaxLabel override at 0° rotation on pinned axes', () => {
+    // hideOverlap stays on for pinned ticks (they label every bucket), but
+    // showMaxLabel still shields the boundary label's immediate neighbour
+    // so the last bucket isn't silently dropped (#39899).
+    const { xAxis } = transformProps(weeklyChartProps(MONDAYS, MONDAYS))
+      .echartOptions as any;
+
+    expect(xAxis.axisLabel.showMaxLabel).toBe(true);
+    expect(xAxis.axisLabel.hideOverlap).toBe(true);
+  });
+
+  test('covers buckets contributed by either query', () => {
+    // The two queries share one axis, so a bucket present in only one of them
+    // still needs a tick.
+    const { xAxis } = transformProps(
+      weeklyChartProps(MONDAYS.slice(0, 3), MONDAYS.slice(2)),
+    ).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+  });
+
+  test('leaves grains ECharts places correctly untouched', () => {
+    const { xAxis } = transformProps(
+      weeklyChartProps(MONDAYS, MONDAYS, {
+        timeGrainSqla: TimeGranularity.MONTH,
+      }),
+    ).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toBeUndefined();
+    expect(xAxis.axisTick?.customValues).toBeUndefined();
+  });
+});
+
 function transformWithChrome(
   overrides: Partial<EchartsMixedTimeseriesFormData>,
 ) {
diff --git a/superset-frontend/plugins/plugin-chart-echarts/test/Timeseries/transformProps.test.ts b/superset-frontend/plugins/plugin-chart-echarts/test/Timeseries/transformProps.test.ts
index 7c05d4f91d76..a24ff415857d 100644
--- a/superset-frontend/plugins/plugin-chart-echarts/test/Timeseries/transformProps.test.ts
+++ b/superset-frontend/plugins/plugin-chart-echarts/test/Timeseries/transformProps.test.ts
@@ -17,6 +17,7 @@
  * under the License.
  */
 import {
+  AnnotationData,
   AnnotationSourceType,
   AnnotationStyle,
   AnnotationType,
@@ -2706,6 +2707,297 @@ describe('EchartsTimeseries tooltip truncation', () => {
   });
 });
 
+describe('weekly x-axis tick alignment', () => {
+  // 13 Monday-aligned weekly buckets, the shape produced by a dataset that is
+  // pre-aggregated to weeks.
+  const WEEK_MS = 7 * 24 * 3600 * 1000;
+  const MONDAYS = Array.from(
+    { length: 13 },
+    (_, i) => Date.UTC(2026, 3, 6) + i * WEEK_MS,
+  );
+
+  const weeklyChartProps = (
+    formDataOverrides: Partial<EchartsTimeseriesFormData> = {},
+    annotationData?: AnnotationData,
+  ) =>
+    createTestChartProps({
+      annotationData,
+      formData: {
+        granularity_sqla: 'ds',
+        timeGrainSqla: TimeGranularity.WEEK_STARTING_MONDAY,
+        xAxisTimeFormat: '%m-%d',
+        ...formDataOverrides,
+      },
+      queriesData: [
+        createTestQueryData(
+          MONDAYS.map((__timestamp, i) => ({ __timestamp, sales: 100 + i })),
+          {
+            colnames: ['__timestamp', 'sales'],
+            coltypes: [GenericDataType.Temporal, GenericDataType.Numeric],
+            // transformProps reads annotations off the query, not chartProps.
+            ...(annotationData && { annotation_data: annotationData }),
+          },
+        ),
+      ],
+    });
+
+  test('pins ticks, labels and gridlines to the weekly buckets', () => {
+    const { xAxis } = transformProps(weeklyChartProps()).echartOptions as any;
+
+    expect(xAxis.type).toBe(AxisType.Time);
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+    // Gridlines follow axisTick.customValues, so splitLine needs no own copy.
+    expect(xAxis.axisTick.customValues).toEqual(MONDAYS);
+    expect(xAxis.splitLine).toBeUndefined();
+  });
+
+  const manyMondaysChartProps = (overrides: Record<string, unknown> = {}) => {
+    const manyMondays = Array.from(
+      { length: 261 },
+      (_, i) => Date.UTC(2021, 0, 4) + i * WEEK_MS,
+    );
+    return {
+      manyMondays,
+      chartProps: createTestChartProps({
+        formData: {
+          granularity_sqla: 'ds',
+          timeGrainSqla: TimeGranularity.WEEK_STARTING_MONDAY,
+          xAxisTimeFormat: '%m-%d',
+          ...overrides,
+        },
+        queriesData: [
+          createTestQueryData(
+            manyMondays.map((__timestamp, i) => ({
+              __timestamp,
+              sales: 100 + i,
+            })),
+            {
+              colnames: ['__timestamp', 'sales'],
+              coltypes: [GenericDataType.Temporal, GenericDataType.Numeric],
+            },
+          ),
+        ],
+      }),
+    };
+  };
+
+  test('caps both axisTick and axisLabel customValues on a non-zoomable axis', () => {
+    // customValues never recomputes, so on a non-zoomable axis (no dataZoom
+    // to reach hidden buckets) axisLabel is capped to the same subset as
+    // axisTick: a label surviving hideOverlap thinning then always lands on
+    // a real tick and gridline rather than a capped-away bucket.
+    const { manyMondays, chartProps } = manyMondaysChartProps();
+    const { xAxis } = transformProps(chartProps).echartOptions as any;
+
+    expect(xAxis.axisTick.customValues.length).toBeLessThan(manyMondays.length);
+    expect(xAxis.axisLabel.customValues).toEqual(xAxis.axisTick.customValues);
+  });
+
+  test('keeps the full bucket set for axisLabel on a zoomable axis', () => {
+    // A capped, uncapped label set would freeze the visible labels to the
+    // pre-zoom subset since customValues never recomputes on dataZoom, so a
+    // zoomable axis keeps the full set for axisLabel and lets hideOverlap
+    // thin it dynamically; only axisTick (no such thinning) stays capped.
+    const { manyMondays, chartProps } = manyMondaysChartProps({
+      zoomable: true,
+    });
+    const { xAxis } = transformProps(chartProps).echartOptions as any;
+
+    expect(xAxis.axisTick.customValues.length).toBeLessThan(manyMondays.length);
+    expect(xAxis.axisLabel.customValues).toEqual(manyMondays);
+  });
+
+  test('keeps the showMaxLabel override at 0° rotation on pinned axes', () => {
+    // hideOverlap stays on for pinned ticks (they label every bucket), but
+    // showMaxLabel still shields the boundary label's immediate neighbour
+    // so the last bucket isn't silently dropped (#39899).
+    const { xAxis } = transformProps(weeklyChartProps()).echartOptions as any;
+
+    expect(xAxis.axisLabel.showMaxLabel).toBe(true);
+    expect(xAxis.axisLabel.hideOverlap).toBe(true);
+  });
+
+  test('pins ticks when the bucket column holds ISO date strings', () => {
+    // A dataset can arrive with __timestamp serialized as an ISO string
+    // rather than a Date/epoch-ms value.
+    const chartProps = createTestChartProps({
+      formData: {
+        granularity_sqla: 'ds',
+        timeGrainSqla: TimeGranularity.WEEK_STARTING_MONDAY,
+      },
+      queriesData: [
+        createTestQueryData(
+          MONDAYS.map((__timestamp, i) => ({
+            __timestamp: new Date(__timestamp).toISOString(),
+            sales: 100 + i,
+          })),
+          {
+            colnames: ['__timestamp', 'sales'],
+            coltypes: [GenericDataType.Temporal, GenericDataType.Numeric],
+          },
+        ),
+      ],
+    });
+    const { xAxis } = transformProps(chartProps).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+  });
+
+  test('keeps label thinning on when the labels are rotated', () => {
+    // Rotation normally turns hideOverlap off, but pinned ticks put a label on
+    // every bucket, so without thinning a multi-year range draws hundreds.
+    const { xAxis } = transformProps(
+      weeklyChartProps({ xAxisLabelRotation: 45 }),
+    ).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+    expect(xAxis.axisLabel.hideOverlap).toBe(true);
+  });
+
+  test('leaves rotation thinning alone when the ticks are not pinned', () => {
+    const { xAxis } = transformProps(
+      weeklyChartProps({
+        timeGrainSqla: TimeGranularity.MONTH,
+        xAxisLabelRotation: 45,
+      }),
+    ).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toBeUndefined();
+    expect(xAxis.axisLabel.hideOverlap).toBe(false);
+  });
+
+  const timeseriesLayer = (show: boolean) =>
+    ({
+      name: 'my annotation',
+      annotationType: AnnotationType.Timeseries,
+      sourceType: AnnotationSourceType.Line,
+      style: AnnotationStyle.Solid,
+      show,
+      value: 1,
+      // eslint-disable-next-line @typescript-eslint/no-explicit-any
+    }) as any;
+
+  // The annotation's own timestamps run a year past the last bucket.
+  const annotationRecords = {
+    'my annotation': {
+      records: [
+        { ds: MONDAYS[0], y: 1 },
+        { ds: MONDAYS[12] + 52 * WEEK_MS, y: 2 },
+      ],
+    },
+  };
+
+  test('does not pin ticks when a timeseries annotation widens the axis', () => {
+    // A Time axis takes no min/max, so it stretches to cover the annotation
+    // while ECharts clips pinned ticks to the extent — that span would be bare.
+    const { xAxis } = transformProps(
+      weeklyChartProps(
+        { annotationLayers: [timeseriesLayer(true)] },
+        annotationRecords,
+      ),
+    ).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toBeUndefined();
+    expect(xAxis.axisTick?.customValues).toBeUndefined();
+  });
+
+  test('still pins ticks for a hidden timeseries annotation', () => {
+    const { xAxis } = transformProps(
+      weeklyChartProps(
+        { annotationLayers: [timeseriesLayer(false)] },
+        annotationRecords,
+      ),
+    ).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+  });
+
+  test.each([
+    TimeGranularity.WEEK,
+    TimeGranularity.WEEK_STARTING_SUNDAY,
+    TimeGranularity.WEEK_STARTING_MONDAY,
+    TimeGranularity.WEEK_ENDING_SATURDAY,
+    TimeGranularity.WEEK_ENDING_SUNDAY,
+  ])('applies to the %s grain', grain => {
+    const { xAxis } = transformProps(weeklyChartProps({ timeGrainSqla: grain }))
+      .echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+  });
+
+  test('a dashboard time-grain override drives the alignment', () => {
+    const { xAxis } = transformProps(
+      weeklyChartProps({
+        timeGrainSqla: TimeGranularity.DAY,
+        extraFormData: { time_grain_sqla: TimeGranularity.WEEK },
+      }),
+    ).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toEqual(MONDAYS);
+  });
+
+  test('deduplicates and sorts the bucket timestamps', () => {
+    // A grouped query repeats each bucket once per series, and the rows are
+    // not necessarily ordered.
+    const chartProps = createTestChartProps({
+      formData: {
+        granularity_sqla: 'ds',
+        timeGrainSqla: TimeGranularity.WEEK,
+        groupby: ['region'],
+      },
+      queriesData: [
+        createTestQueryData(
+          [
+            { __timestamp: MONDAYS[1], region: 'b', sales: 2 },
+            { __timestamp: MONDAYS[0], region: 'a', sales: 1 },
+            { __timestamp: MONDAYS[1], region: 'a', sales: 3 },
+            { __timestamp: MONDAYS[0], region: 'b', sales: 4 },
+          ],
+          {
+            colnames: ['__timestamp', 'region', 'sales'],
+            coltypes: [
+              GenericDataType.Temporal,
+              GenericDataType.String,
+              GenericDataType.Numeric,
+            ],
+          },
+        ),
+      ],
+    });
+    const { xAxis } = transformProps(chartProps).echartOptions as any;
+
+    expect(xAxis.axisLabel.customValues).toEqual([MONDAYS[0], MONDAYS[1]]);
+  });
+
+  test('leaves grains ECharts places correctly untouched', () => {
+    (
+      [
+        TimeGranularity.DAY,
+        TimeGranularity.MONTH,
+        TimeGranularity.QUARTER,
+        TimeGranularity.YEAR,
+        undefined,
+      ] as const
+    ).forEach(grain => {
+      const { xAxis } = transformProps(
+        weeklyChartProps({ timeGrainSqla: grain }),
+      ).echartOptions as any;
+
+      expect(xAxis.axisLabel.customValues).toBeUndefined();
+      expect(xAxis.axisTick?.customValues).toBeUndefined();
+    });
+  });
+
+  test('leaves a categorical x-axis untouched', () => {
+    const { xAxis } = transformProps(
+      weeklyChartProps({ xAxisForceCategorical: true }),
+    ).echartOptions as any;
+
+    expect(xAxis.type).toBe(AxisType.Category);
+    expect(xAxis.axisLabel.customValues).toBeUndefined();
+  });
+});
+
 describe('tooltip for metrics whose labels end in forecast suffixes', () => {
   const marker = '<span style="background-color:#1f77b4;"></span>';
   const seriesIds = ['ci__yhat', 'ci__yhat_lower', 'ci__yhat_upper'];
diff --git a/superset-frontend/plugins/plugin-chart-echarts/test/utils/series.test.ts b/superset-frontend/plugins/plugin-chart-echarts/test/utils/series.test.ts
index 32f16acfe851..78e88961a008 100644
--- a/superset-frontend/plugins/plugin-chart-echarts/test/utils/series.test.ts
+++ b/superset-frontend/plugins/plugin-chart-echarts/test/utils/series.test.ts
@@ -22,6 +22,7 @@ import {
   DataRecord,
   getNumberFormatter,
   getTimeFormatter,
+  TimeGranularity,
 } from '@superset-ui/core';
 import { supersetTheme as theme } from '@apache-superset/core/theme';
 import { GenericDataType } from '@apache-superset/core/common';
@@ -40,6 +41,8 @@ import {
   getLegendProps,
   getOverMaxHiddenFormatter,
   getMinAndMaxFromBounds,
+  capTickMarks,
+  getTemporalTickValues,
   sanitizeHtml,
   sortAndFilterSeries,
   sortRows,
@@ -1705,6 +1708,148 @@ test('getAxisType does not coerce Numeric x-axis to Time regardless of values',
   );
 });
 
+describe('getTemporalTickValues', () => {
+  const xAxisLabel = '__timestamp';
+
+  test('returns undefined for a non-time axis', () => {
+    const data: DataRecord[] = [{ [xAxisLabel]: 1712361600000 }];
+    expect(
+      getTemporalTickValues(
+        data,
+        xAxisLabel,
+        AxisType.Category,
+        TimeGranularity.WEEK,
+      ),
+    ).toBeUndefined();
+  });
+
+  test('returns undefined when there is no time grain', () => {
+    const data: DataRecord[] = [{ [xAxisLabel]: 1712361600000 }];
+    expect(
+      getTemporalTickValues(data, xAxisLabel, AxisType.Time, undefined),
+    ).toBeUndefined();
+  });
+
+  test('returns undefined for a non-weekly time grain', () => {
+    const data: DataRecord[] = [{ [xAxisLabel]: 1712361600000 }];
+    expect(
+      getTemporalTickValues(
+        data,
+        xAxisLabel,
+        AxisType.Time,
+        TimeGranularity.MONTH,
+      ),
+    ).toBeUndefined();
+  });
+
+  test('returns sorted, de-duplicated bucket timestamps for numbers and Dates', () => {
+    const t0 = Date.UTC(2026, 3, 6);
+    const t1 = Date.UTC(2026, 3, 13);
+    const data: DataRecord[] = [
+      { [xAxisLabel]: t1 },
+      { [xAxisLabel]: new Date(t0) },
+      { [xAxisLabel]: t0 }, // duplicate of the Date row above
+    ];
+    expect(
+      getTemporalTickValues(
+        data,
+        xAxisLabel,
+        AxisType.Time,
+        TimeGranularity.WEEK,
+      ),
+    ).toEqual([t0, t1]);
+  });
+
+  test('parses a zoned ISO string as the instant it names', () => {
+    const data: DataRecord[] = [{ [xAxisLabel]: '2026-04-06T00:00:00.000Z' }];
+    expect(
+      getTemporalTickValues(
+        data,
+        xAxisLabel,
+        AxisType.Time,
+        TimeGranularity.WEEK,
+      ),
+    ).toEqual([Date.UTC(2026, 3, 6)]);
+  });
+
+  test('parses a zone-less datetime string as local time, matching ECharts', () => {
+    const data: DataRecord[] = [{ [xAxisLabel]: '2026-04-06T00:00:00' }];
+    expect(
+      getTemporalTickValues(
+        data,
+        xAxisLabel,
+        AxisType.Time,
+        TimeGranularity.WEEK,
+      ),
+    ).toEqual([new Date(2026, 3, 6, 0, 0, 0).getTime()]);
+  });
+
+  test('parses a bare date string as local midnight, matching ECharts rather than native Date', () => {
+    // `new Date('2026-04-06')` is UTC, but ECharts parses it as local time.
+    // jest.config.js fixes the test TZ to America/New_York, so they disagree.
+    const data: DataRecord[] = [{ [xAxisLabel]: '2026-04-06' }];
+    const localMidnight = new Date(2026, 3, 6).getTime();
+    expect(localMidnight).not.toEqual(new Date('2026-04-06').getTime());
+    expect(
+      getTemporalTickValues(
+        data,
+        xAxisLabel,
+        AxisType.Time,
+        TimeGranularity.WEEK,
+      ),
+    ).toEqual([localMidnight]);
+  });
+
+  test('drops unparseable or nullish values and returns undefined when none remain', () => {
+    const data: DataRecord[] = [
+      { [xAxisLabel]: 'not-a-date' },
+      { [xAxisLabel]: null },
+    ];
+    expect(
+      getTemporalTickValues(
+        data,
+        xAxisLabel,
+        AxisType.Time,
+        TimeGranularity.WEEK,
+      ),
+    ).toBeUndefined();
+  });
+});
+
+describe('capTickMarks', () => {
+  test('returns values unchanged when within the cap', () => {
+    const values = [1, 2, 3];
+    expect(capTickMarks(values, 60)).toEqual(values);
+  });
+
+  test('downsamples to every step-th value when the last value already lands on the step', () => {
+    const values = Array.from({ length: 261 }, (_, i) => i);
+    // step = ceil(261 / 60) = 5, and 260 is already a multiple of 5, so
+    // nothing needs to be appended for the last bucket.
+    expect(capTickMarks(values, 60)).toEqual(
+      Array.from({ length: 53 }, (_, i) => i * 5),
+    );
+  });
+
+  test('appends the last value when it does not land on the step', () => {
+    const values = Array.from({ length: 262 }, (_, i) => i);
+    // step = ceil(262 / 60) = 5, stepping lands on 0..260, and the true last
+    // value (261) is appended on top since it isn't a multiple of 5.
+    expect(capTickMarks(values, 60)).toEqual([
+      ...Array.from({ length: 53 }, (_, i) => i * 5),
+      261,
+    ]);
+  });
+
+  test('maxTicks is not a hard bound once the last value has to be appended', () => {
+    const values = Array.from({ length: 300 }, (_, i) => i);
+    // step = ceil(300 / 60) = 5, which already lands on 60 stepped values
+    // (0..295) plus the appended last value (299), totaling 61 — one over
+    // maxTicks. Keeping the true last bucket wins over a hard cap.
+    expect(capTickMarks(values, 60)).toHaveLength(61);
+  });
+});
+
 test('getMinAndMaxFromBounds returns empty object when not truncating', () => {
   expect(
     getMinAndMaxFromBounds(
diff --git a/superset-frontend/src/components/Datasource/components/DatasourceEditor/DatasourceEditor.tsx b/superset-frontend/src/components/Datasource/components/DatasourceEditor/DatasourceEditor.tsx
index a20e5e4b8d33..394806b17169 100644
--- a/superset-frontend/src/components/Datasource/components/DatasourceEditor/DatasourceEditor.tsx
+++ b/superset-frontend/src/components/Datasource/components/DatasourceEditor/DatasourceEditor.tsx
@@ -36,6 +36,7 @@ import {
   SupersetClient,
   getClientErrorObject,
   getExtensionsRegistry,
+  formatSpecifier,
 } from '@superset-ui/core';
 import { GenericDataType } from '@apache-superset/core/common';
 import { t } from '@apache-superset/core/translation';
@@ -827,6 +828,78 @@ function EditorsSelector({
 const ResultTable =
   extensionsRegistry.get('sqleditor.extension.resultTable') ?? FilterableTable;
 
+// D3's '%' and 'p' types both multiply by 100; parsed via d3-format's own
+// grammar so garbage like "foo%" is rejected rather than matched by suffix.
+// The stored value is trimmed before parsing because
+// NumberFormatterRegistry.get() trims it the same way before rendering, so
+// this check agrees with what the renderer actually sees.
+export const isPercentD3Format = (d3format?: string): boolean => {
+  if (!d3format) {
+    return false;
+  }
+  try {
+    const { type } = formatSpecifier(d3format.trim());
+    return type === '%' || type === 'p';
+  } catch {
+    return false;
+  }
+};
+
+// Matches the outermost COUNT(...) call's parens by depth, so a ratio like
+// `COUNT(*) / COUNT(*)` isn't misclassified but a nested call like
+// `COUNT(DISTINCT COALESCE(a, b))` is still recognized. Parens inside a
+// quoted string literal (single- or double-quoted, with a doubled quote as
+// an escaped quote) are ignored so they don't desync the depth count.
+export const isCountExpression = (expression?: string): boolean => {
+  const trimmed = expression?.trim();
+  if (!trimmed || !/^count\s*\(/i.test(trimmed) || !trimmed.endsWith(')')) {
+    return false;
+  }
+  let depth = 0;
+  let stringDelimiter: string | null = null;
+  for (let i = trimmed.indexOf('('); i < trimmed.length; i += 1) {
+    const char = trimmed[i];
+    if (stringDelimiter) {
+      if (char === stringDelimiter && trimmed[i + 1] === stringDelimiter) {
+        i += 1;
+      } else if (char === stringDelimiter) {
+        stringDelimiter = null;
+      }
+    } else if (char === "'" || char === '"') {
+      stringDelimiter = char;
+    } else if (char === '(') {
+      depth += 1;
+    } else if (char === ')') {
+      depth -= 1;
+      if (depth === 0) {
+        return i === trimmed.length - 1;
+      }
+    }
+  }
+  return false;
+};
+
+function renderMetricFormatWarning(item: Record<string, any>): ReactNode {
+  if (
+    !isCountExpression(item.expression) ||
+    !isPercentD3Format(item.d3format)
+  ) {
+    return null;
+  }
+  return (
+    <Alert
+      css={themeParam => ({ marginBottom: themeParam.sizeUnit * 4 })}
+      type="warning"
+      showIcon
+      message={t(
+        'This metric is a count, but its D3 format is a percentage. ' +
+          'Percent formats multiply the value by 100, which will make a ' +
+          'raw count render as a misleadingly large number.',
+      )}
+    />
+  );
+}
+
 // Redux connector types
 interface QueryPayload {
   client_id?: string;
@@ -2170,7 +2243,7 @@ function DatasourceEditor({
           }}
           expandFieldset={
             <FormContainer>
-              <Fieldset compact>
+              <Fieldset compact renderWarning={renderMetricFormatWarning}>
                 <Field
                   fieldKey="expression"
                   label={t('SQL expression')}
diff --git a/superset-frontend/src/components/Datasource/components/DatasourceEditor/tests/DatasourceEditorMetricFormatWarning.test.tsx b/superset-frontend/src/components/Datasource/components/DatasourceEditor/tests/DatasourceEditorMetricFormatWarning.test.tsx
new file mode 100644
index 000000000000..255b63e57eb2
--- /dev/null
+++ b/superset-frontend/src/components/Datasource/components/DatasourceEditor/tests/DatasourceEditorMetricFormatWarning.test.tsx
@@ -0,0 +1,210 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+import fetchMock from 'fetch-mock';
+import {
+  screen,
+  userEvent,
+  waitFor,
+  within,
+} from 'spec/helpers/testing-library';
+import { isCountExpression, isPercentD3Format } from '../DatasourceEditor';
+import {
+  createProps,
+  DATASOURCE_ENDPOINT,
+  setupDatasourceEditorMocks,
+  cleanupAsyncOperations,
+  fastRender,
+  dismissDatasourceWarning,
+  DatasourceEditorProps,
+} from './DatasourceEditor.test.utils';
+
+beforeEach(() => {
+  fetchMock.get(DATASOURCE_ENDPOINT, [], { name: DATASOURCE_ENDPOINT });
+  setupDatasourceEditorMocks();
+});
+
+afterEach(async () => {
+  await cleanupAsyncOperations();
+  fetchMock.clearHistory().removeRoutes();
+});
+
+const WARNING_TEXT = /D3 format is a percentage/i;
+
+// Selecting the expand toggle by its position in the list is brittle: any
+// change to the fixture or the table's sort order would expand a different
+// row and negative assertions would keep passing against the wrong metric.
+// Look up the toggle via the row that actually contains the metric name.
+const expandMetricRow = async (metricName: string) => {
+  const nameCell = await screen.findByText(metricName);
+  const row = nameCell.closest('tr');
+  if (!row) {
+    throw new Error(`Could not find a table row for metric "${metricName}"`);
+  }
+  await userEvent.click(within(row).getByLabelText(/expand row/i));
+};
+
+// A fixed-time sleep can't prove the debounced value actually committed, so
+// negative assertions would pass vacuously if the commit landed late on a
+// loaded runner. Instead, wait for the real signal of a commit: the metric's
+// d3format reaching the top-level onChange the editor calls after every
+// datasource state update.
+const waitForD3FormatCommit = (
+  onChange: DatasourceEditorProps['onChange'],
+  metricName: string,
+  d3format: string,
+) =>
+  waitFor(() => {
+    const [datasource] = onChange.mock.calls.at(-1) ?? [];
+    const metric = datasource?.metrics?.find(
+      (m: { metric_name?: string }) => m.metric_name === metricName,
+    );
+    expect(metric?.d3format).toBe(d3format);
+  });
+
+test('isCountExpression matches a COUNT(...) call, including nested calls', () => {
+  expect(isCountExpression('COUNT(*)')).toBe(true);
+  expect(isCountExpression('count( * )')).toBe(true);
+  expect(isCountExpression('COUNT (*)')).toBe(true);
+  expect(isCountExpression('COUNT(DISTINCT name)')).toBe(true);
+  expect(isCountExpression('COUNT(DISTINCT COALESCE(a, b))')).toBe(true);
+  expect(isCountExpression('COUNT(*) / COUNT(*)')).toBe(false);
+  expect(isCountExpression('COUNT(*) * 100')).toBe(false);
+  expect(isCountExpression('SUM(num)')).toBe(false);
+  expect(isCountExpression(undefined)).toBe(false);
+});
+
+test('isCountExpression ignores parens inside string literals', () => {
+  expect(isCountExpression("COUNT(CASE WHEN x = '(' THEN 1 END)")).toBe(true);
+  expect(isCountExpression("COUNT(CASE WHEN x = ')' THEN 1 END)")).toBe(true);
+  expect(isCountExpression("COUNT(CASE WHEN x = '''(' THEN 1 END)")).toBe(true);
+});
+
+test('isCountExpression ignores parens inside double-quoted identifiers', () => {
+  expect(isCountExpression('COUNT("x\'")')).toBe(true);
+  expect(isCountExpression('COUNT("y\'")')).toBe(true);
+  expect(isCountExpression('COUNT(CASE WHEN "a""b" = 1 THEN 1 END)')).toBe(
+    true,
+  );
+});
+
+test('isPercentD3Format accepts only a valid D3 percent/p spec', () => {
+  expect(isPercentD3Format('.0%')).toBe(true);
+  expect(isPercentD3Format(',.2%')).toBe(true);
+  expect(isPercentD3Format('.1p')).toBe(true);
+  expect(isPercentD3Format('foo%')).toBe(false);
+  expect(isPercentD3Format('.0%garbage%')).toBe(false);
+  expect(isPercentD3Format(',.0f')).toBe(false);
+  expect(isPercentD3Format(undefined)).toBe(false);
+});
+
+// NumberFormatterRegistry.get() trims the stored value before parsing it at
+// render time, so this must trim too rather than reject a format the
+// renderer accepts.
+test('isPercentD3Format trims, matching render-time parsing', () => {
+  expect(isPercentD3Format('.0% ')).toBe(true);
+});
+
+// A '%' format is valid syntax, so it never hits the "Invalid format" fallback.
+test('warns when a percent D3 format is set on a COUNT metric', async () => {
+  const testProps = createProps();
+  fastRender(testProps);
+  await dismissDatasourceWarning();
+
+  await userEvent.click(await screen.findByTestId('collection-tab-Metrics'));
+  await expandMetricRow('count');
+
+  expect(screen.queryByText(WARNING_TEXT)).not.toBeInTheDocument();
+
+  await userEvent.type(await screen.findByPlaceholderText('%y/%m/%d'), '.0%');
+
+  expect(await screen.findByText(WARNING_TEXT)).toBeInTheDocument();
+});
+
+test('does not warn for a non-percent format on a COUNT metric', async () => {
+  const testProps = createProps();
+  fastRender(testProps);
+  await dismissDatasourceWarning();
+
+  await userEvent.click(await screen.findByTestId('collection-tab-Metrics'));
+  await expandMetricRow('count');
+
+  await userEvent.type(await screen.findByPlaceholderText('%y/%m/%d'), ',.0f');
+
+  await waitForD3FormatCommit(testProps.onChange, 'count', ',.0f');
+  expect(screen.queryByText(WARNING_TEXT)).not.toBeInTheDocument();
+});
+
+test('does not warn for a percent format on a non-COUNT metric', async () => {
+  const testProps = createProps();
+  fastRender(testProps);
+  await dismissDatasourceWarning();
+
+  await userEvent.click(await screen.findByTestId('collection-tab-Metrics'));
+  await expandMetricRow('sum__num');
+
+  await userEvent.type(await screen.findByPlaceholderText('%y/%m/%d'), '.0%');
+
+  await waitForD3FormatCommit(testProps.onChange, 'sum__num', '.0%');
+  expect(screen.queryByText(WARNING_TEXT)).not.toBeInTheDocument();
+});
+
+test('does not warn for a ratio built from COUNT, e.g. COUNT(*) / COUNT(*)', async () => {
+  const baseProps = createProps();
+  const testProps = {
+    ...baseProps,
+    datasource: {
+      ...baseProps.datasource,
+      metrics: [
+        ...baseProps.datasource.metrics,
+        {
+          id: 99,
+          uuid: 'metric-99-uuid',
+          expression: 'COUNT(*) / COUNT(*)',
+          verbose_name: 'ratio',
+          metric_name: 'ratio',
+          metric_type: 'count',
+        },
+      ],
+    },
+  };
+  fastRender(testProps);
+  await dismissDatasourceWarning();
+
+  await userEvent.click(await screen.findByTestId('collection-tab-Metrics'));
+  await expandMetricRow('ratio');
+
+  await userEvent.type(await screen.findByPlaceholderText('%y/%m/%d'), '.0%');
+
+  await waitForD3FormatCommit(testProps.onChange, 'ratio', '.0%');
+  expect(screen.queryByText(WARNING_TEXT)).not.toBeInTheDocument();
+});
+
+test('does not warn for a garbage format string that merely ends in %', async () => {
+  const testProps = createProps();
+  fastRender(testProps);
+  await dismissDatasourceWarning();
+
+  await userEvent.click(await screen.findByTestId('collection-tab-Metrics'));
+  await expandMetricRow('count');
+
+  await userEvent.type(await screen.findByPlaceholderText('%y/%m/%d'), 'foo%');
+
+  await waitForD3FormatCommit(testProps.onChange, 'count', 'foo%');
+  expect(screen.queryByText(WARNING_TEXT)).not.toBeInTheDocument();
+});
diff --git a/superset-frontend/src/components/Datasource/components/Fieldset/index.tsx b/superset-frontend/src/components/Datasource/components/Fieldset/index.tsx
index e74d25f69655..e2f77be2c47e 100644
--- a/superset-frontend/src/components/Datasource/components/Fieldset/index.tsx
+++ b/superset-frontend/src/components/Datasource/components/Fieldset/index.tsx
@@ -28,6 +28,7 @@ export interface FieldsetProps {
   item?: Record<string, any>;
   title?: ReactNode;
   compact?: boolean;
+  renderWarning?: (item: Record<string, any>) => ReactNode;
 }
 
 type fieldKeyType = string | number;
@@ -38,6 +39,7 @@ export default function Fieldset({
   item = {},
   title = null,
   compact = false,
+  renderWarning,
 }: FieldsetProps) {
   // Controls report their edits asynchronously - TextControl debounces by
   // FAST_DEBOUNCE - so the callback that eventually fires was built during an
@@ -78,6 +80,7 @@ export default function Fieldset({
         </Typography.Title>
       )}
 
+      {renderWarning?.(item)}
       {recurseReactClone(children, Field, propExtender)}
     </Form>
   );
diff --git a/superset-frontend/src/explore/components/DataTablesPane/DataTablesPane.tsx b/superset-frontend/src/explore/components/DataTablesPane/DataTablesPane.tsx
index cb8878e3bf97..f3c505366e2d 100644
--- a/superset-frontend/src/explore/components/DataTablesPane/DataTablesPane.tsx
+++ b/superset-frontend/src/explore/components/DataTablesPane/DataTablesPane.tsx
@@ -29,22 +29,7 @@ import {
 } from 'src/utils/localStorageHelpers';
 import { SamplesPane, useResultsPane } from './components';
 import { DataTablesPaneProps, ResultTypes } from './types';
-
-/**
- * A mixed chart can be reconfigured to return fewer result panes than before
- * (e.g. dropping a query), which removes the corresponding results tab. If the
- * selected tab was one of those, the active key goes stale and the data panel
- * renders blank until the user reselects a valid tab. Returns the first
- * results tab to fall back to in that case, otherwise undefined.
- */
-export const getStaleResultsTabFallback = (
-  activeTabKey: string,
-  resultsTabKeys: string[],
-): string | undefined =>
-  activeTabKey.startsWith(ResultTypes.Results) &&
-  !resultsTabKeys.includes(activeTabKey)
-    ? ResultTypes.Results
-    : undefined;
+import { useStaleResultsTabFallback } from './utils';
 
 const StyledDiv = styled.div`
   ${() => `
@@ -230,17 +215,12 @@ export const DataTablesPane = ({
     };
   });
 
-  const resultsTabFallback = getStaleResultsTabFallback(
+  useStaleResultsTabFallback(
     activeTabKey,
     queryResultsPanes.map(({ key }) => key),
+    setActiveTabKey,
   );
 
-  useEffect(() => {
-    if (resultsTabFallback) {
-      setActiveTabKey(resultsTabFallback);
-    }
-  }, [resultsTabFallback]);
-
   // Hide the Samples tab for datasources that don't expose raw rows
   // (e.g. semantic views). The check is intentionally ``=== false`` so that
   // datasources from older backends that don't send the flag still show the
diff --git a/superset-frontend/src/explore/components/DataTablesPane/components/ResultsPaneOnDashboard.tsx b/superset-frontend/src/explore/components/DataTablesPane/components/ResultsPaneOnDashboard.tsx
index 4485ca792081..9a8c6123bcbd 100644
--- a/superset-frontend/src/explore/components/DataTablesPane/components/ResultsPaneOnDashboard.tsx
+++ b/superset-frontend/src/explore/components/DataTablesPane/components/ResultsPaneOnDashboard.tsx
@@ -20,6 +20,7 @@ import { t } from '@apache-superset/core/translation';
 import { styled } from '@apache-superset/core/theme';
 import Tabs from '@superset-ui/core/components/Tabs';
 import { ResultTypes, ResultsPaneProps } from '../types';
+import { useStaleResultsTabFallback } from '../utils';
 import { useResultsPane } from './useResultsPane';
 import { useState } from 'react';
 
@@ -28,22 +29,10 @@ const Wrapper = styled.div`
   flex-direction: column;
   height: 100%;
 
-  .ant-tabs {
-    height: 100%;
-  }
-
-  .ant-tabs-body {
-    height: 100%;
-  }
-
   .ant-tabs-content {
     display: flex;
     flex-direction: column;
   }
-
-  .table-condensed {
-    overflow: auto;
-  }
 `;
 
 export const ResultsPaneOnDashboard = ({
@@ -86,9 +75,20 @@ export const ResultsPaneOnDashboard = ({
     };
   });
 
+  useStaleResultsTabFallback(
+    activeTabKey,
+    items.map(({ key }) => key),
+    setActiveTabKey,
+  );
+
   return (
     <Wrapper>
-      <Tabs activeKey={activeTabKey} onChange={setActiveTabKey} items={items} />
+      <Tabs
+        fullHeight
+        activeKey={activeTabKey}
+        onChange={setActiveTabKey}
+        items={items}
+      />
     </Wrapper>
   );
 };
diff --git a/superset-frontend/src/explore/components/DataTablesPane/test/ResultsPaneOnDashboard.test.tsx b/superset-frontend/src/explore/components/DataTablesPane/test/ResultsPaneOnDashboard.test.tsx
index 145ab3e78962..aab837f663f6 100644
--- a/superset-frontend/src/explore/components/DataTablesPane/test/ResultsPaneOnDashboard.test.tsx
+++ b/superset-frontend/src/explore/components/DataTablesPane/test/ResultsPaneOnDashboard.test.tsx
@@ -20,14 +20,36 @@ import fetchMock from 'fetch-mock';
 import {
   screen,
   render,
+  act,
   waitForElementToBeRemoved,
   waitFor,
 } from 'spec/helpers/testing-library';
 import { ChartMetadata, ChartPlugin, VizType } from '@superset-ui/core';
 import { setupAGGridModules } from '@superset-ui/core/components/ThemedAgGridReact';
+import Tabs from '@superset-ui/core/components/Tabs';
 import { ResultsPaneOnDashboard } from '../components';
+import { useResultsPane } from '../components/useResultsPane';
 import { createResultsPaneOnDashboardProps } from './fixture';
 
+jest.mock('@superset-ui/core/components/Tabs', () => {
+  const actual = jest.requireActual('@superset-ui/core/components/Tabs');
+  return { __esModule: true, ...actual, default: jest.fn(actual.default) };
+});
+
+// Wraps the real hook; only overridden below to avoid mounting a second
+// real AG Grid instance, which jsdom doesn't support.
+jest.mock('../components/useResultsPane', () => {
+  const actual = jest.requireActual('../components/useResultsPane');
+  return {
+    __esModule: true,
+    useResultsPane: jest.fn(actual.useResultsPane),
+  };
+});
+
+const actualUseResultsPane = jest.requireActual(
+  '../components/useResultsPane',
+).useResultsPane;
+
 beforeAll(() => {
   setupAGGridModules();
 });
@@ -93,6 +115,10 @@ describe('ResultsPaneOnDashboard', () => {
 
   const setForceQuery = jest.fn();
 
+  afterEach(() => {
+    (useResultsPane as jest.Mock).mockImplementation(actualUseResultsPane);
+  });
+
   afterAll(() => {
     fetchMock.clearHistory().removeRoutes();
     jest.resetAllMocks();
@@ -106,6 +132,9 @@ describe('ResultsPaneOnDashboard', () => {
     expect(
       await findByText('No results were returned for this query'),
     ).toBeVisible();
+    const tabsMock = Tabs as unknown as jest.Mock;
+    const [tabsProps] = tabsMock.mock.calls[tabsMock.mock.calls.length - 1];
+    expect(tabsProps).toEqual(expect.objectContaining({ fullHeight: true }));
   });
 
   test('render errorMessage', async () => {
@@ -219,4 +248,36 @@ describe('ResultsPaneOnDashboard', () => {
     expect(tab2).toBeVisible();
     expect(tab3).toBeNull();
   });
+
+  test('falls back to the first results tab when the active one disappears', async () => {
+    const mockedUseResultsPane = useResultsPane as jest.Mock;
+    mockedUseResultsPane.mockReturnValue([<div key="a" />, <div key="b" />]);
+
+    const props = createResultsPaneOnDashboardProps({ sliceId: 999 });
+    const { rerender } = render(<ResultsPaneOnDashboard {...props} />, {
+      useRedux: true,
+    });
+
+    const latestTabsProps = () => {
+      const { calls } = (Tabs as unknown as jest.Mock).mock;
+      return calls[calls.length - 1][0];
+    };
+    expect(latestTabsProps().items.map((i: { key: string }) => i.key)).toEqual([
+      'results',
+      'results 2',
+    ]);
+
+    act(() => {
+      latestTabsProps().onChange('results 2');
+    });
+    expect(latestTabsProps().activeKey).toBe('results 2');
+
+    // A mixed chart dropped from two query results to one, removing "results 2"
+    mockedUseResultsPane.mockReturnValue([<div key="a" />]);
+    rerender(<ResultsPaneOnDashboard {...props} />);
+
+    await waitFor(() => {
+      expect(latestTabsProps().activeKey).toBe('results');
+    });
+  });
 });
diff --git a/superset-frontend/src/explore/components/DataTablesPane/test/getStaleResultsTabFallback.test.ts b/superset-frontend/src/explore/components/DataTablesPane/test/getStaleResultsTabFallback.test.ts
index d387babf4ee0..2b6d8df6aee2 100644
--- a/superset-frontend/src/explore/components/DataTablesPane/test/getStaleResultsTabFallback.test.ts
+++ b/superset-frontend/src/explore/components/DataTablesPane/test/getStaleResultsTabFallback.test.ts
@@ -16,7 +16,7 @@
  * specific language governing permissions and limitations
  * under the License.
  */
-import { getStaleResultsTabFallback } from '../DataTablesPane';
+import { getStaleResultsTabFallback } from '../utils';
 import { ResultTypes } from '../types';
 
 test('keeps the active tab when it still exists', () => {
diff --git a/superset-frontend/src/explore/components/DataTablesPane/utils.ts b/superset-frontend/src/explore/components/DataTablesPane/utils.ts
new file mode 100644
index 000000000000..bfd984df9f78
--- /dev/null
+++ b/superset-frontend/src/explore/components/DataTablesPane/utils.ts
@@ -0,0 +1,54 @@
+/**
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+import { useEffect } from 'react';
+import { ResultTypes } from './types';
+
+/**
+ * A mixed chart can be reconfigured to return fewer result panes than before
+ * (e.g. dropping a query), which removes the corresponding results tab. If the
+ * selected tab was one of those, the active key goes stale and the data panel
+ * renders blank until the user reselects a valid tab. Returns the first
+ * results tab to fall back to in that case, otherwise undefined.
+ */
+export const getStaleResultsTabFallback = (
+  activeTabKey: string,
+  resultsTabKeys: string[],
+): string | undefined =>
+  activeTabKey.startsWith(ResultTypes.Results) &&
+  !resultsTabKeys.includes(activeTabKey)
+    ? ResultTypes.Results
+    : undefined;
+
+/**
+ * Switches the active tab back to the first results tab when it goes stale,
+ * per `getStaleResultsTabFallback`.
+ */
+export const useStaleResultsTabFallback = (
+  activeTabKey: string,
+  tabKeys: string[],
+  setActiveTabKey: (key: string) => void,
+) => {
+  const fallback = getStaleResultsTabFallback(activeTabKey, tabKeys);
+
+  useEffect(() => {
+    if (fallback) {
+      setActiveTabKey(fallback);
+    }
+  }, [fallback, setActiveTabKey]);
+};
diff --git a/superset-frontend/src/setup/setupFormatters.ts b/superset-frontend/src/setup/setupFormatters.ts
index a96074f71a84..d041913a3bb7 100644
--- a/superset-frontend/src/setup/setupFormatters.ts
+++ b/superset-frontend/src/setup/setupFormatters.ts
@@ -32,8 +32,8 @@ import {
   setCurrencyLocale,
   createLengthFormatter,
   createThroughputFormatter,
+  FormatLocaleDefinition,
 } from '@superset-ui/core';
-import { FormatLocaleDefinition } from 'd3-format';
 import { TimeLocaleDefinition } from 'd3-time-format';
 
 export default function setupFormatters(
diff --git a/superset-frontend/src/types/bootstrapTypes.ts b/superset-frontend/src/types/bootstrapTypes.ts
index 9a10e88d684b..9c341034f382 100644
--- a/superset-frontend/src/types/bootstrapTypes.ts
+++ b/superset-frontend/src/types/bootstrapTypes.ts
@@ -16,7 +16,6 @@
  * specific language governing permissions and limitations
  * under the License.
  */
-import { FormatLocaleDefinition } from 'd3-format';
 import { TimeLocaleDefinition } from 'd3-time-format';
 import { isPlainObject } from 'lodash-es';
 import { Languages } from 'src/features/home/LanguagePicker';
@@ -28,6 +27,7 @@ import {
 import type {
   ColorSchemeConfig,
   FeatureFlagMap,
+  FormatLocaleDefinition,
   JsonObject,
   SequentialSchemeConfig,
 } from '@superset-ui/core';
diff --git a/superset-websocket/package-lock.json b/superset-websocket/package-lock.json
index 7185250b9076..761b9c8bd005 100644
--- a/superset-websocket/package-lock.json
+++ b/superset-websocket/package-lock.json
@@ -26,10 +26,10 @@
         "@types/ws": "^8.18.1",
         "@typescript-eslint/eslint-plugin": "^8.67.0",
         "@typescript-eslint/parser": "^8.67.0",
-        "eslint": "^10.9.0",
+        "eslint": "^10.9.1",
         "eslint-config-prettier": "^10.1.8",
         "globals": "^17.11.0",
-        "oxfmt": "^0.64.0",
+        "oxfmt": "^0.65.0",
         "tscw-config": "^1.1.2",
         "typescript": "^6.0.3",
         "typescript-eslint": "^8.67.0",
@@ -257,9 +257,9 @@
       }
     },
     "node_modules/@oxfmt/binding-android-arm-eabi": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-android-arm-eabi/-/binding-android-arm-eabi-0.64.0.tgz",
-      "integrity": "sha512-o6uzh/jTOQeAY5TdkAeXdqv7MBRcPxiRA08zrcBtkKj5cSu/FMu0Hl7Q6Fi1KCKyCWZ6lJVjBzdsJvsKltUsGQ==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-android-arm-eabi/-/binding-android-arm-eabi-0.65.0.tgz",
+      "integrity": "sha512-M10Gs1SSpTNI6ahGx3M/OlIdUF4hkaP6OgUb+MS79t/Pgflk3r1nW5gPFqsZGUAXg0H1AfANT9AvLdBSTIhZKg==",
       "cpu": [
         "arm"
       ],
@@ -274,9 +274,9 @@
       }
     },
     "node_modules/@oxfmt/binding-android-arm64": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-android-arm64/-/binding-android-arm64-0.64.0.tgz",
-      "integrity": "sha512-jRGSUeeP7p3Gynw2YaCVtjBIA6ZxY6bEB/ES5i54OhqmRTyuVg7ZgstEtzgq6GOAJd+2QZ5pvf+bFfmW5Mp9cw==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-android-arm64/-/binding-android-arm64-0.65.0.tgz",
+      "integrity": "sha512-6DXH5sftNlaHpWJG50hFMF+Qxtq5D2TmahvcDPxWNcGIf8qrC9Y0YgHYcYZ2hlWzaccKXh/f3GcssH8vtkl4JA==",
       "cpu": [
         "arm64"
       ],
@@ -291,9 +291,9 @@
       }
     },
     "node_modules/@oxfmt/binding-darwin-arm64": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-darwin-arm64/-/binding-darwin-arm64-0.64.0.tgz",
-      "integrity": "sha512-JINwtU2lW7nOFSqi+H2qplipNUqah9Gc1jgGmB82kTD4UnZrZIVxCJ9qEmFiKfjNq27gYLFhrUb0to86aCwMjw==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-darwin-arm64/-/binding-darwin-arm64-0.65.0.tgz",
+      "integrity": "sha512-K9m7lr53pcOLETNsC88sWes/GWHUGjZyHx95UhYcSXy0r30haLdeXlSufSenEAtoLaW753WN8/l4M7GYcRt6cg==",
       "cpu": [
         "arm64"
       ],
@@ -308,9 +308,9 @@
       }
     },
     "node_modules/@oxfmt/binding-darwin-x64": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-darwin-x64/-/binding-darwin-x64-0.64.0.tgz",
-      "integrity": "sha512-gCmuswrgrOSajV4HCRFkVCGIruPq8bjYuPYgSE2WQB3mD6XrdyZ3JMSRZCkQ8zCxOyGWriBo6QoZ5nmMHQ1BfA==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-darwin-x64/-/binding-darwin-x64-0.65.0.tgz",
+      "integrity": "sha512-sTNwIx1gre3MyiHOPLu7IGW4UyMScYL4DTmJT01p4vzB0En+OJUQz6KuH8t0PpsClRSaMuY3b0QmtoPItfO8Lg==",
       "cpu": [
         "x64"
       ],
@@ -325,9 +325,9 @@
       }
     },
     "node_modules/@oxfmt/binding-freebsd-x64": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-freebsd-x64/-/binding-freebsd-x64-0.64.0.tgz",
-      "integrity": "sha512-Ab8g7a38pT0MMImjh7anRSTve6buWBIlcXIFBYa5xl4s6UxEgKSc2xOOhbGtLwvXnEi2PsEDGoJh3oUU7xkehQ==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-freebsd-x64/-/binding-freebsd-x64-0.65.0.tgz",
+      "integrity": "sha512-lYZMVIiIpnjGu5hJb2jxA8NYQ/e0OTGuaiAf4dqlGPNnPmUTu23FZRMltmjro/KkQm1uE4NT4n5yJ2zWmKcpfA==",
       "cpu": [
         "x64"
       ],
@@ -342,9 +342,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-arm-gnueabihf": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-arm-gnueabihf/-/binding-linux-arm-gnueabihf-0.64.0.tgz",
-      "integrity": "sha512-BgvS3CoQ+Xy2deoZqEN8JVKabcCZi2RxA3yant8G9OAv9KuPJ9TCjHkqigzdHUVwErZxEP5d2bzLIEyKYyBDLg==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-arm-gnueabihf/-/binding-linux-arm-gnueabihf-0.65.0.tgz",
+      "integrity": "sha512-gIdXFAt/bURnjxuoedDEWdZ0PEWEmdDcm8qdpoFYYvW3QMk/5D4vUaH4mlMeRpeTdST4izUgHVO6RawQ4QulJw==",
       "cpu": [
         "arm"
       ],
@@ -359,9 +359,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-arm-musleabihf": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-arm-musleabihf/-/binding-linux-arm-musleabihf-0.64.0.tgz",
-      "integrity": "sha512-QXpNxwoMj0YvnceCNZadNSden3bIcnvjn/sDp/rwZhRoZoZYGpHvtPyhGsdJz9uvT9GkaMW7SsLddurU56dt8w==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-arm-musleabihf/-/binding-linux-arm-musleabihf-0.65.0.tgz",
+      "integrity": "sha512-jJVyADto7gA2AaX5qAjAexrxx9PJQaKWOe8PICE7yKMbjBRyOHcmj9TtVJ+MZYDUQ3hodU0AcoTj0jFQ1W4C6Q==",
       "cpu": [
         "arm"
       ],
@@ -376,9 +376,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-arm64-gnu": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-arm64-gnu/-/binding-linux-arm64-gnu-0.64.0.tgz",
-      "integrity": "sha512-BBgH3I1ppDsI5pZ4Pdhw0ceYxwVCfbU/bZEBCeZ6caRS9x0ZabErxubP7riGUn11PXZBhe8DYdjkDKP1FlVQ5w==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-arm64-gnu/-/binding-linux-arm64-gnu-0.65.0.tgz",
+      "integrity": "sha512-p3RFkB+u7u+8up99b/NEcI1hdpLDiGgJYNwDorB60n7eH+eKposAKuMBxx+NqB3b+sJP4CZmYDh9G7X62tUsKg==",
       "cpu": [
         "arm64"
       ],
@@ -396,9 +396,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-arm64-musl": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-arm64-musl/-/binding-linux-arm64-musl-0.64.0.tgz",
-      "integrity": "sha512-v19HSjC/BGXdt26qEvKZtwAHgGmQ2Agcap2kQP+KIqoRZqivVzYth3ui2dJA1i+6/fjpjga85lIOaJJjQ/bOOw==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-arm64-musl/-/binding-linux-arm64-musl-0.65.0.tgz",
+      "integrity": "sha512-5Prb0uFzJHr+OUD/qS/TmU526wD+PaHDsm3KoRiUXbMIDpTSErjeQYkK3OQeshAvD/PuLa9WGEi9WPajjdOZJg==",
       "cpu": [
         "arm64"
       ],
@@ -416,9 +416,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-ppc64-gnu": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-ppc64-gnu/-/binding-linux-ppc64-gnu-0.64.0.tgz",
-      "integrity": "sha512-PElLnOo4xFTBZrxPhgTIj0eHqZXwEBQoNWtb7facUV170T0B0FRET0iNbb3LUeLWTybkUW+vsdyv4ihOdyXGyw==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-ppc64-gnu/-/binding-linux-ppc64-gnu-0.65.0.tgz",
+      "integrity": "sha512-S8svxTp81obnF3admN9yd+u2rOYXtyzThLGBTg1PY6TPtGcC09BaaXLQD+TBSMa7yvqhCDZ8DFri+S/yG60qCg==",
       "cpu": [
         "ppc64"
       ],
@@ -436,9 +436,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-riscv64-gnu": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-riscv64-gnu/-/binding-linux-riscv64-gnu-0.64.0.tgz",
-      "integrity": "sha512-Qzsg15n4F5CH+MorcRW4MkAEMiLzXmeG+DiDSbP/bBTqCmWOH3K9DHryNrve+JHlV0txS+B6Z9P5Xz+cmWeL+g==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-riscv64-gnu/-/binding-linux-riscv64-gnu-0.65.0.tgz",
+      "integrity": "sha512-WtXBr75G/h2qOHy8SiGtC1R6aS3jt4mE52v1D8AtwMXIgoOmSNP9lKvbSaTRoL0e5wsMPoi6T72QWDYPu+S+nA==",
       "cpu": [
         "riscv64"
       ],
@@ -456,9 +456,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-riscv64-musl": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-riscv64-musl/-/binding-linux-riscv64-musl-0.64.0.tgz",
-      "integrity": "sha512-/GZ358wnQ/Ez4UVnCcZIi56JkY0sOdZ+B108pqXKqZz3jLS59F4KEAB1Qv3fRlObrFEk+3L2vUQ/xoPx+3vjXw==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-riscv64-musl/-/binding-linux-riscv64-musl-0.65.0.tgz",
+      "integrity": "sha512-YwSLVvpaz4o/nv/miiPEBJz+eJ+VmbgNIrao6RccK9ce+L5EA8wP+ZD0uFeq6wKOza6zoWv/dR0sj6lip6R3EA==",
       "cpu": [
         "riscv64"
       ],
@@ -476,9 +476,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-s390x-gnu": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-s390x-gnu/-/binding-linux-s390x-gnu-0.64.0.tgz",
-      "integrity": "sha512-/C9We3DXegowfLXtVCYHeNiU9azwCDr5cQkEtCVlc74vyn+lLQSPApJ1CZmxAduqeq/Oi3gQ+IVptyhCaTMtkQ==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-s390x-gnu/-/binding-linux-s390x-gnu-0.65.0.tgz",
+      "integrity": "sha512-XQTPqgvyrgkKcFq+Tp2eK6JS7sqqJ+nRmy2Fav4j3I+i4dJoPJm7YwEdoeSDX9xkqj9jZ/lWfF3bXUWztIrn6A==",
       "cpu": [
         "s390x"
       ],
@@ -496,9 +496,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-x64-gnu": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-x64-gnu/-/binding-linux-x64-gnu-0.64.0.tgz",
-      "integrity": "sha512-91KM2CeRWscIEHlj1NsW2WSnzGeq1Ehq+39bfDowTdkn+fcvK/x4Y1RcyqT7glyBjZio0ldkeCG6Usj3v7ASog==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-x64-gnu/-/binding-linux-x64-gnu-0.65.0.tgz",
+      "integrity": "sha512-cjZlx6S/VkeCNWCbwZriTnLnZeTcV3DEyeRGSw/2wwLP9viq+C0bJ4bC1k/ZLkFxDcB1lUgSasPkYGP1bdraOg==",
       "cpu": [
         "x64"
       ],
@@ -516,9 +516,9 @@
       }
     },
     "node_modules/@oxfmt/binding-linux-x64-musl": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-x64-musl/-/binding-linux-x64-musl-0.64.0.tgz",
-      "integrity": "sha512-gw7uEk9I+7zoT1EYLra1eWArIzNcz8e3jkv+Noo2+o2T7wPvsNSQbfoa4DSfZlvn1i6mJ05RiZ4/omaXPDNhQg==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-linux-x64-musl/-/binding-linux-x64-musl-0.65.0.tgz",
+      "integrity": "sha512-2azCjxdLtK4zCcIOU1dlXlU0xxfbPi6EjwWx7Ac7teWPidIIDOcIhudup83xNCKYhtqeVd/gaVDOxbUq4syXWA==",
       "cpu": [
         "x64"
       ],
@@ -536,9 +536,9 @@
       }
     },
     "node_modules/@oxfmt/binding-openharmony-arm64": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-openharmony-arm64/-/binding-openharmony-arm64-0.64.0.tgz",
-      "integrity": "sha512-HYHFf616FHSPSO07c09mjmXBfQ73wIVM3m0txOiooa5XZkGoxFd6B14PVj0LB0DXIqJ6wAO/dDR/NX/5UUaqnw==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-openharmony-arm64/-/binding-openharmony-arm64-0.65.0.tgz",
+      "integrity": "sha512-KXQ7xi1e/voP0IQaw6fG6XY4Z5+Llf1XmRSZS1t7pVFCecFJ0iXaboKmVwjFtp5MLlT5iWQrJ2U1C3GJdZ2u+Q==",
       "cpu": [
         "arm64"
       ],
@@ -553,9 +553,9 @@
       }
     },
     "node_modules/@oxfmt/binding-win32-arm64-msvc": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-win32-arm64-msvc/-/binding-win32-arm64-msvc-0.64.0.tgz",
-      "integrity": "sha512-uQjFp081IZSWD6VAofX2iO2z01awAdHmfC+NrieWIPKrT2hZKQDyq/U18M7ifC0sm0Wz8aHY/p6+FDYIzs/CrQ==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-win32-arm64-msvc/-/binding-win32-arm64-msvc-0.65.0.tgz",
+      "integrity": "sha512-2FbbjG5jEqLSLKVJwBap84uJfpn5Y5A53KEO0aUNr+zeiRB9nyPUIFMcSbZVMFLitfBytFWRNngozXYjb6Rsbw==",
       "cpu": [
         "arm64"
       ],
@@ -570,9 +570,9 @@
       }
     },
     "node_modules/@oxfmt/binding-win32-ia32-msvc": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-win32-ia32-msvc/-/binding-win32-ia32-msvc-0.64.0.tgz",
-      "integrity": "sha512-lNM6byTAQ881jugzFu8juJTbNRgsUTlswMA6pJmwi1XDvmIqnnb49lcUAs5gz94fCJLrVN+/X3s3jOKqx23WIQ==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-win32-ia32-msvc/-/binding-win32-ia32-msvc-0.65.0.tgz",
+      "integrity": "sha512-LJ+ZacAPSjegDOnSLyA1TMWAhdDrsK4el3REdr1oL2UtVBCMhO2II/Sb3cEW6mF2MfLhl8hDNCSvc7KSbgk3LQ==",
       "cpu": [
         "ia32"
       ],
@@ -587,9 +587,9 @@
       }
     },
     "node_modules/@oxfmt/binding-win32-x64-msvc": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/@oxfmt/binding-win32-x64-msvc/-/binding-win32-x64-msvc-0.64.0.tgz",
-      "integrity": "sha512-BtmbtL/QjMtF1a6C3CqoDluH2IfB6fJt62E+B9RFfUPtFk4Iz9PFS6+y/SzzOvSxc7aUk2Kphwg7Dh8lMbwu6g==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/@oxfmt/binding-win32-x64-msvc/-/binding-win32-x64-msvc-0.65.0.tgz",
+      "integrity": "sha512-higu9cWEO6XXFzATD1jf0mCK34rNfN2H9JrJie7QB1IhleVpTh0QlLH9Ip2C1H/Nd5n0v5pvRtC+5R0uE4HpVg==",
       "cpu": [
         "x64"
       ],
@@ -1624,9 +1624,9 @@
       }
     },
     "node_modules/eslint": {
-      "version": "10.9.0",
-      "resolved": "https://registry.npmjs.org/eslint/-/eslint-10.9.0.tgz",
-      "integrity": "sha512-5KeEOJZBfEVA47boFiBsf+6MmmJpffM7qEBg4pLla2e4nlKgdKlqCW0oSLOGsT8Wl5uCGJptLV1bkaiShj90Gw==",
+      "version": "10.9.1",
+      "resolved": "https://registry.npmjs.org/eslint/-/eslint-10.9.1.tgz",
+      "integrity": "sha512-9VaAkDURekixUQJy0oJYl2DcN6oKMfxay7XzaGYAWQwsb6qfKf+x76R2k1L8kb1boc+FyCAaTA9GmiKaaiaF+A==",
       "dev": true,
       "license": "MIT",
       "workspaces": [
@@ -2656,9 +2656,9 @@
       }
     },
     "node_modules/oxfmt": {
-      "version": "0.64.0",
-      "resolved": "https://registry.npmjs.org/oxfmt/-/oxfmt-0.64.0.tgz",
-      "integrity": "sha512-XZ4GFBN/PLbXKq+0zrgpQfPKYuJlUuj+nzZJY7UpIbFMNyefNLCdN9EwViycNqnYcv0wrn0jXcQLlqJp8RCKBg==",
+      "version": "0.65.0",
+      "resolved": "https://registry.npmjs.org/oxfmt/-/oxfmt-0.65.0.tgz",
+      "integrity": "sha512-SgS5VgnP42T0zl3zWD+xoH8FCqg1SAFnSRoOT/qeoa6gxcYIqrDMOmcXIg/EWSN92Du4ogB4riuKhKd6Y4CGhw==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
@@ -2674,25 +2674,25 @@
         "url": "https://github.com/sponsors/Boshen"
       },
       "optionalDependencies": {
-        "@oxfmt/binding-android-arm-eabi": "0.64.0",
-        "@oxfmt/binding-android-arm64": "0.64.0",
-        "@oxfmt/binding-darwin-arm64": "0.64.0",
-        "@oxfmt/binding-darwin-x64": "0.64.0",
-        "@oxfmt/binding-freebsd-x64": "0.64.0",
-        "@oxfmt/binding-linux-arm-gnueabihf": "0.64.0",
-        "@oxfmt/binding-linux-arm-musleabihf": "0.64.0",
-        "@oxfmt/binding-linux-arm64-gnu": "0.64.0",
-        "@oxfmt/binding-linux-arm64-musl": "0.64.0",
-        "@oxfmt/binding-linux-ppc64-gnu": "0.64.0",
-        "@oxfmt/binding-linux-riscv64-gnu": "0.64.0",
-        "@oxfmt/binding-linux-riscv64-musl": "0.64.0",
-        "@oxfmt/binding-linux-s390x-gnu": "0.64.0",
-        "@oxfmt/binding-linux-x64-gnu": "0.64.0",
-        "@oxfmt/binding-linux-x64-musl": "0.64.0",
-        "@oxfmt/binding-openharmony-arm64": "0.64.0",
-        "@oxfmt/binding-win32-arm64-msvc": "0.64.0",
-        "@oxfmt/binding-win32-ia32-msvc": "0.64.0",
-        "@oxfmt/binding-win32-x64-msvc": "0.64.0"
+        "@oxfmt/binding-android-arm-eabi": "0.65.0",
+        "@oxfmt/binding-android-arm64": "0.65.0",
+        "@oxfmt/binding-darwin-arm64": "0.65.0",
+        "@oxfmt/binding-darwin-x64": "0.65.0",
+        "@oxfmt/binding-freebsd-x64": "0.65.0",
+        "@oxfmt/binding-linux-arm-gnueabihf": "0.65.0",
+        "@oxfmt/binding-linux-arm-musleabihf": "0.65.0",
+        "@oxfmt/binding-linux-arm64-gnu": "0.65.0",
+        "@oxfmt/binding-linux-arm64-musl": "0.65.0",
+        "@oxfmt/binding-linux-ppc64-gnu": "0.65.0",
+        "@oxfmt/binding-linux-riscv64-gnu": "0.65.0",
+        "@oxfmt/binding-linux-riscv64-musl": "0.65.0",
+        "@oxfmt/binding-linux-s390x-gnu": "0.65.0",
+        "@oxfmt/binding-linux-x64-gnu": "0.65.0",
+        "@oxfmt/binding-linux-x64-musl": "0.65.0",
+        "@oxfmt/binding-openharmony-arm64": "0.65.0",
+        "@oxfmt/binding-win32-arm64-msvc": "0.65.0",
+        "@oxfmt/binding-win32-ia32-msvc": "0.65.0",
+        "@oxfmt/binding-win32-x64-msvc": "0.65.0"
       },
       "peerDependencies": {
         "svelte": "^5.0.0",
diff --git a/superset-websocket/package.json b/superset-websocket/package.json
index c51a31d8a264..9b760672731a 100644
--- a/superset-websocket/package.json
+++ b/superset-websocket/package.json
@@ -34,10 +34,10 @@
     "@types/ws": "^8.18.1",
     "@typescript-eslint/eslint-plugin": "^8.67.0",
     "@typescript-eslint/parser": "^8.67.0",
-    "eslint": "^10.9.0",
+    "eslint": "^10.9.1",
     "eslint-config-prettier": "^10.1.8",
     "globals": "^17.11.0",
-    "oxfmt": "^0.64.0",
+    "oxfmt": "^0.65.0",
     "tscw-config": "^1.1.2",
     "typescript": "^6.0.3",
     "typescript-eslint": "^8.67.0",
diff --git a/superset/charts/client_processing.py b/superset/charts/client_processing.py
index 3242e0712c00..153b8c3bf1d4 100644
--- a/superset/charts/client_processing.py
+++ b/superset/charts/client_processing.py
@@ -25,6 +25,7 @@
 """
 
 import logging
+from collections.abc import Callable
 from functools import partial
 from io import BytesIO, StringIO
 from typing import Any, Optional, TYPE_CHECKING, Union
@@ -35,11 +36,14 @@
 from flask_babel import gettext as __
 
 from superset.common.chart_data import ChartDataResultFormat
+from superset.common.grouping_sets import GROUPING_MARKER_SUFFIX
+from superset.constants import SHOW_VALUES_AS_PERCENT_MODES, ShowValuesAs
 from superset.extensions import event_logger
 from superset.utils import csv, excel
 from superset.utils.core import (
     extract_dataframe_dtypes,
     get_column_names,
+    get_metric_name,
     get_metric_names,
 )
 from superset.utils.number_format import (
@@ -61,6 +65,14 @@
 # ``transformProps`` formatter selection.
 PERCENT_3_POINT = ",.3%"
 
+# The pivot renderer formats a fraction with ``usFmtPct``
+# (``react-pivottable/utilities.ts``), which is one decimal place -- not the
+# Table plugin's three.
+PERCENT_1_POINT = ",.1%"
+
+# The Excel equivalent, applied as a cell format so the value stays numeric.
+EXCEL_PERCENT_FORMAT = "0.0%"
+
 
 def get_column_key(label: tuple[str, ...], metrics: list[str]) -> tuple[Any, ...]:
     """
@@ -75,6 +87,398 @@ def get_column_key(label: tuple[str, ...], metrics: list[str]) -> tuple[Any, ...
     return tuple(parts)
 
 
+# How a metric's rollup total is derived from its cells, mirroring
+# `additiveReducerFor` in the pivot plugin's `plugin/utilities.ts`: SUM and
+# COUNT add up, MIN takes the lowest, MAX the highest. Everything else (saved
+# metrics, adhoc SQL, AVG, ...) is non-additive and has no correct answer at
+# this layer, so it falls back to summing the cells.
+_ROLLUP_REDUCERS: dict[str, str] = {"MIN": "min", "MAX": "max"}
+DEFAULT_ROLLUP_REDUCER = "sum"
+
+
+def split_grouping_sets_levels(
+    df: pd.DataFrame,
+) -> tuple[pd.DataFrame, dict[frozenset[str], pd.DataFrame]]:
+    """
+    Separate a GROUPING SETS result into its leaf frame and rollup levels.
+
+    A pivot chart with non-additive metrics asks for every rollup level in one
+    frame, tagging each row with a ``GROUPING()`` marker per groupby column
+    (see ``common/grouping_sets.py``): ``0`` where the column is grouped at that
+    row's level, ``1`` where it has been rolled up. The rollup rows must not be
+    pivoted as ordinary rows -- their collapsed dimensions are NULL, so they
+    would add phantom rows and columns and inflate every denominator.
+
+    They are not discardable either: for a non-additive metric the database
+    rollup is the only correct total, and re-deriving one from the leaf cells
+    gives a different number (the mean of means, say, rather than the mean).
+    The chart divides by these values, so the export has to as well.
+
+    :return: the leaf frame, and each rollup level keyed by its grouped columns
+    """
+    markers = [
+        column
+        for column in df.columns
+        if isinstance(column, str) and column.endswith(GROUPING_MARKER_SUFFIX)
+    ]
+    if not markers:
+        return df, {}
+
+    grouped_of = {marker: marker[: -len(GROUPING_MARKER_SUFFIX)] for marker in markers}
+    levels: dict[frozenset[str], pd.DataFrame] = {}
+    leaf = df
+    for keys, rows_at_level in df.groupby(markers, sort=False):
+        # `groupby` yields a scalar key for a single column and a tuple beyond.
+        marker_values = keys if isinstance(keys, tuple) else (keys,)
+        grouped = frozenset(
+            grouped_of[marker]
+            for marker, rolled_up in zip(markers, marker_values, strict=True)
+            if not rolled_up
+        )
+        level = rows_at_level.drop(columns=markers).reset_index(drop=True)
+        levels[grouped] = level
+        if len(grouped) == len(markers):
+            leaf = level
+    return leaf, levels
+
+
+def get_metric_rollup_reducers(
+    metrics: list[Any], verbose_map: Optional[dict[str, Any]] = None
+) -> dict[str, str]:
+    """Map each metric's label to the reducer that rolls its cells up."""
+    reducers: dict[str, str] = {}
+    for metric in metrics:
+        reducer = DEFAULT_ROLLUP_REDUCER
+        if isinstance(metric, dict) and metric.get("expressionType") == "SIMPLE":
+            reducer = _ROLLUP_REDUCERS.get(
+                metric.get("aggregate") or "", DEFAULT_ROLLUP_REDUCER
+            )
+        reducers[get_metric_name(metric, verbose_map)] = reducer
+    return reducers
+
+
+def _collapsed_metric(present: list[Any], metrics: list[str]) -> Any:
+    """
+    The metric a rollup spanning `present` stands for.
+
+    A total that collapses the metric axis is undefined in the renderer, which
+    resolves it to the last metric pushed into the shared slot (see the
+    ``metricAxis`` handling in ``react-pivottable/utilities.ts``). Mirror that
+    by taking the last metric in the configured order, so exported percentages
+    match the chart rather than summing metrics that share no unit.
+    """
+    distinct = set(present)
+    if len(distinct) == 1:
+        return distinct.pop()
+    for metric in reversed(metrics):
+        if metric in distinct:
+            return metric
+    return None
+
+
+def _broadcast(total: pd.Series, block: pd.DataFrame, axis: int) -> pd.DataFrame:
+    """Spread a per-row (`axis` 0) or per-column (`axis` 1) total over `block`."""
+    if axis == 0:
+        spread = pd.concat([total] * len(block.columns), axis=1)
+        spread.columns = block.columns
+        return spread
+    return pd.DataFrame(
+        np.tile(total.reindex(block.columns).to_numpy(), (len(block.index), 1)),
+        index=block.index,
+        columns=block.columns,
+    )
+
+
+def _metric_of_column(column: Any, metric_level: int) -> Any:
+    """The metric a pivoted column belongs to."""
+    return column[metric_level] if isinstance(column, tuple) else column
+
+
+def _reduce(
+    data: Union[pd.DataFrame, pd.Series],
+    reducer: str,
+    axis: Optional[int] = None,
+) -> Any:
+    """Apply a rollup reducer (``sum``/``min``/``max``), skipping empty cells."""
+    method = getattr(data, reducer)
+    return method(axis=axis) if axis is not None else method()
+
+
+def _rollup_index(
+    rollup_levels: dict[frozenset[str], pd.DataFrame],
+) -> Callable[[list[str]], dict[tuple[str, ...], dict[str, Any]]]:
+    """
+    Index each rollup level by its grouped dimension values, on first use.
+
+    Reshaping a level costs a `fillna` and a `to_dict` over the whole frame, so
+    it is done once per level rather than once per cell -- the difference
+    between linear and quadratic on a large pivot.
+    """
+    cache: dict[tuple[str, ...], dict[tuple[str, ...], dict[str, Any]]] = {}
+
+    def keyed(dimensions: list[str]) -> dict[tuple[str, ...], dict[str, Any]]:
+        cache_key = tuple(dimensions)
+        if cache_key not in cache:
+            level = rollup_levels.get(frozenset(dimensions))
+            cache[cache_key] = (
+                {}
+                if level is None
+                else {
+                    tuple(str(record[dimension]) for dimension in dimensions): record
+                    for record in level.fillna("SUPERSET_PANDAS_NAN").to_dict("records")
+                }
+            )
+        return cache[cache_key]
+
+    return keyed
+
+
+def _rollup_key(
+    label: Any, depth: int, metric_level: int, is_column: bool
+) -> tuple[str, ...]:
+    """The grouped dimension values a pivoted row or column label carries."""
+    parts = list(label) if isinstance(label, tuple) else [label]
+    if is_column:
+        # The column label interleaves the metric with the dimension values.
+        parts = [part for index, part in enumerate(parts) if index != metric_level]
+    return tuple(str(part) for part in parts[:depth])
+
+
+def _apply_rollup_totals(  # pylint: disable=too-many-arguments,too-many-locals
+    df: pd.DataFrame,
+    rows: list[str],
+    columns: list[str],
+    metrics: list[str],
+    rollup_levels: dict[frozenset[str], pd.DataFrame],
+    metric_level: int,
+    row_prefix_depth: dict[Any, int],
+    column_prefix_depth: dict[Any, int],
+) -> pd.DataFrame:
+    """
+    Replace inserted totals with the values the database computed.
+
+    A total grouping ``i`` row and ``j`` column dimensions is exactly the rollup
+    level over ``rows[:i] + columns[:j]``, which ``buildGroupbyCombinations``
+    requests whenever the chart displays that total. Reading it keeps the export
+    equal to the chart for a non-additive metric, where reducing the leaf cells
+    gives a different number.
+
+    A total the chart did not request keeps its leaf-derived value, so a missing
+    level degrades to the previous behaviour. A total the database returned as
+    NULL is kept as NULL, which is not the same thing -- the chart renders that
+    cell blank.
+    """
+    keyed = _rollup_index(rollup_levels)
+    metric_names = set(metrics)
+
+    def metric_of(column: Any) -> Any:
+        name = _metric_of_column(column, metric_level)
+        return (
+            name if name in metric_names else _collapsed_metric(list(metrics), metrics)
+        )
+
+    def lookup(row: Any, column: Any) -> tuple[bool, Any]:
+        row_depth = row_prefix_depth.get(row, len(rows))
+        column_depth = column_prefix_depth.get(column, len(columns))
+        grouped = rows[:row_depth] + columns[:column_depth]
+        key = _rollup_key(row, row_depth, metric_level, is_column=False) + _rollup_key(
+            column, column_depth, metric_level, is_column=True
+        )
+        record = keyed(grouped).get(key)
+        if record is None:
+            return False, None
+        return True, record.get(metric_of(column))
+
+    # Index positionally: a tuple label on a MultiIndex is ambiguous to `.loc`.
+    for column_position, column in enumerate(df.columns):
+        for row_position, row in enumerate(df.index):
+            if row not in row_prefix_depth and column not in column_prefix_depth:
+                continue  # a leaf cell, already carrying its own value
+            found, value = lookup(row, column)
+            if found:
+                df.iloc[row_position, column_position] = value
+    return df
+
+
+def _rollup_denominators(  # pylint: disable=too-many-arguments,too-many-locals
+    df: pd.DataFrame,
+    mode: str,
+    rows: list[str],
+    columns: list[str],
+    metrics: list[str],
+    rollup_levels: dict[frozenset[str], pd.DataFrame],
+    metric_level: int,
+    row_prefix_depth: dict[Any, int],
+    column_prefix_depth: dict[Any, int],
+    metrics_on_rows: bool,
+) -> tuple[pd.DataFrame, pd.DataFrame]:
+    """
+    Each cell's denominator, taken from the database-computed rollup levels.
+
+    A percent mode makes the chart request the level its denominator needs: for
+    "% of row" the cell's own row with the columns collapsed, for "% of column"
+    the reverse, for "% of total" both (see ``buildGroupbyCombinations``). A
+    subtotal divides by its own prefix, not by the grand total -- an "EU"
+    subtotal row divides by the ``{region}`` rollup.
+
+    The metrics layout decides which frame axis carries the displayed rows, so
+    "% of row" groups the column dimensions when metrics sit on rows.
+
+    :return: the denominators, and a mask of the cells the database resolved.
+        A resolved cell holding NULL stays NULL, where an unresolved one lets
+        the caller fall back to a leaf-derived total.
+    """
+    keyed = _rollup_index(rollup_levels)
+    metric_names = set(metrics)
+
+    def metric_of(column: Any) -> Any:
+        name = _metric_of_column(column, metric_level)
+        return (
+            name if name in metric_names else _collapsed_metric(list(metrics), metrics)
+        )
+
+    def denominator(row: Any, column: Any) -> tuple[bool, Any]:
+        if mode == ShowValuesAs.PERCENT_OF_TOTAL:
+            grouped: list[str] = []
+            key: tuple[str, ...] = ()
+        else:
+            # The displayed row axis is the frame index, unless the metrics
+            # layout moved it to the columns.
+            along_index = (mode == ShowValuesAs.PERCENT_OF_ROW) != metrics_on_rows
+            if along_index:
+                depth = row_prefix_depth.get(row, len(rows))
+                grouped = rows[:depth]
+                key = _rollup_key(row, depth, metric_level, is_column=False)
+            else:
+                depth = column_prefix_depth.get(column, len(columns))
+                grouped = columns[:depth]
+                key = _rollup_key(column, depth, metric_level, is_column=True)
+        record = keyed(grouped).get(key)
+        if record is None:
+            return False, None
+        return True, record.get(metric_of(column))
+
+    resolved = [[denominator(row, column) for column in df.columns] for row in df.index]
+    values = pd.DataFrame(
+        [[value for _, value in row] for row in resolved],
+        index=df.index,
+        columns=df.columns,
+    )
+    found = pd.DataFrame(
+        [[hit for hit, _ in row] for row in resolved],
+        index=df.index,
+        columns=df.columns,
+    )
+    return values.apply(pd.to_numeric, errors="coerce").astype(float), found
+
+
+def _apply_show_values_as(  # pylint: disable=too-many-arguments
+    df: pd.DataFrame,
+    mode: str,
+    axis: dict[str, int],
+    metrics: list[str],
+    combine_metrics: bool,
+    inserted_rows: list[Any],
+    inserted_columns: list[Any],
+    reducers: dict[str, str],
+    denominators: Optional[tuple[pd.DataFrame, pd.DataFrame]] = None,
+) -> pd.DataFrame:
+    """
+    Express each cell as a fraction of its row, column, or grand total.
+
+    Mirrors the client's ``fractionOf`` aggregator in
+    ``plugin-chart-pivot-table/src/react-pivottable/utilities.ts``. Two details
+    it inherits from there:
+
+    - Denominators are summed over leaf cells only. Totals and subtotals
+      inserted into the frame are numerators like any other cell -- a "% of
+      row" grand total row reads ``column total / grand total``, not the sum of
+      the fractions above it.
+    - A total is rolled up within a single metric, so a cell is never divided by
+      a total that mixes in another metric, and each metric uses its own
+      reducer -- a MIN/MAX metric divides by the row's minimum/maximum rather
+      than its sum. A total that collapses the metric axis resolves to a single
+      metric the way the renderer does; see ``_collapsed_metric``.
+
+    A zero denominator yields NaN (blank) rather than infinity, matching
+    ``pandas_postprocessing.pivot``'s ``show_values_as``.
+    """
+    numeric = df.apply(pd.to_numeric, errors="coerce").astype(float)
+    is_multi_index = isinstance(df.columns, pd.MultiIndex)
+    # `combine_metrics` has already moved the metric to the lowest column level.
+    metric_level = df.columns.nlevels - 1 if combine_metrics and is_multi_index else 0
+    metric_names = set(metrics)
+    metric_of_column = [
+        key if key in metric_names else None
+        for key in df.columns.get_level_values(metric_level)
+    ]
+    leaf_rows = ~df.index.isin(inserted_rows)
+    leaf_columns = ~df.columns.isin(inserted_columns)
+
+    derived = pd.DataFrame(np.nan, index=numeric.index, columns=numeric.columns)
+    for metric in dict.fromkeys(metric_of_column):
+        selection = np.array([column == metric for column in metric_of_column])
+        denominator_selection = (
+            selection if metric is not None else np.ones(len(selection), dtype=bool)
+        )
+        # Derive the reducer from the columns forming the denominator, not from
+        # the numerator's own label: a total column carries a total label, but
+        # must still divide by a rollup of the metric it totals.
+        denominator_metric = _collapsed_metric(
+            [
+                column_metric
+                for column_metric, keep in zip(
+                    metric_of_column, denominator_selection, strict=True
+                )
+                if keep and column_metric is not None
+            ],
+            metrics,
+        )
+        reducer = reducers.get(str(denominator_metric), DEFAULT_ROLLUP_REDUCER)
+        if denominator_metric is not None:
+            denominator_selection = denominator_selection & np.array(
+                [column == denominator_metric for column in metric_of_column]
+            )
+        block = numeric.loc[:, selection]
+        if mode == ShowValuesAs.PERCENT_OF_TOTAL:
+            leaf = numeric.loc[leaf_rows, leaf_columns & denominator_selection]
+            # Reduce through pandas, not numpy: a sparse pivot leaves NaN in
+            # cells whose group had no rows, and numpy would propagate that to
+            # the grand total, blanking every cell.
+            grand_total = _reduce(_reduce(leaf, reducer, axis=0), reducer)
+            group_denominator = pd.DataFrame(
+                np.nan if pd.isna(grand_total) else grand_total,
+                index=block.index,
+                columns=block.columns,
+            )
+        else:
+            summed, divided = (
+                (axis["rows"], axis["columns"])
+                if mode == ShowValuesAs.PERCENT_OF_COLUMN
+                else (axis["columns"], axis["rows"])
+            )
+            # The metric lives on the column axis, so only a rollup taken along
+            # that axis has to stay within one metric.
+            leaf = (
+                numeric.loc[:, leaf_columns & denominator_selection]
+                if summed == 1
+                else numeric.loc[leaf_rows, :]
+            )
+            total = _reduce(leaf, reducer, axis=summed)
+            group_denominator = _broadcast(total, block, divided)
+        derived.loc[:, selection] = group_denominator
+
+    denominator = derived
+    if denominators is not None:
+        # Database-computed rollups win wherever the chart requested the level.
+        # Mask on whether the level resolved, not on whether the value is null:
+        # a rollup the database returned as NULL leaves the cell blank, as the
+        # chart does, while an unrequested level falls back to the leaf total.
+        values, found = denominators
+        denominator = derived.mask(found, values)
+    return numeric / denominator.replace(0, np.nan)
+
+
 def pivot_df(  # pylint: disable=too-many-locals, too-many-arguments, too-many-statements, too-many-branches  # noqa: C901
     df: pd.DataFrame,
     rows: list[str],
@@ -87,8 +491,31 @@ def pivot_df(  # pylint: disable=too-many-locals, too-many-arguments, too-many-s
     show_columns_total: bool = False,
     apply_metrics_on_rows: bool = False,
     metric_name_aggfunc: Optional[str] = None,
+    show_values_as: Optional[str] = None,
+    metric_rollup_reducers: Optional[dict[str, str]] = None,
+    rollup_levels: Optional[dict[frozenset[str], pd.DataFrame]] = None,
 ) -> pd.DataFrame:
+    percent_mode = (
+        show_values_as if show_values_as in SHOW_VALUES_AS_PERCENT_MODES else None
+    )
+    reducers = metric_rollup_reducers or {}
+    if percent_mode:
+        # The chart ignores `aggregateFunction` post-SIP-216: cells arrive
+        # pre-aggregated from the database and totals are per-metric rollups of
+        # them. Match that here so the totals and the percent denominators
+        # cannot disagree -- otherwise a total stops dividing by itself and the
+        # Total row/column reads something other than 100%.
+        aggfunc = "Sum"
     metric_name = __("Total (%(aggfunc)s)", aggfunc=metric_name_aggfunc or aggfunc)
+    # Labels of the total/subtotal rows and columns inserted below, so the
+    # `showValuesAs` denominators can be summed over leaf cells only.
+    inserted_rows: list[Any] = []
+    inserted_columns: list[Any] = []
+    # How many dimensions of its own axis each inserted total still groups; 0
+    # collapses the axis entirely. Together with the other axis they name the
+    # rollup level holding that total's database-computed value.
+    row_prefix_depth: dict[Any, int] = {}
+    column_prefix_depth: dict[Any, int] = {}
 
     if transpose_pivot:
         rows, columns = columns, rows
@@ -98,6 +525,11 @@ def pivot_df(  # pylint: disable=too-many-locals, too-many-arguments, too-many-s
     # returning it
     if apply_metrics_on_rows:
         rows, columns = columns, rows
+        # The frame is transposed on the way out, which flips the axis each
+        # total was inserted on. Swap the toggles too, so `rowTotals` still
+        # means the right-hand Total column of the rendered table, whether or
+        # not there are column dimensions to group by.
+        show_rows_total, show_columns_total = show_columns_total, show_rows_total
         axis = {"columns": 0, "rows": 1}
     else:
         axis = {"columns": 1, "rows": 0}
@@ -150,16 +582,19 @@ def pivot_df(  # pylint: disable=too-many-locals, too-many-arguments, too-many-s
         # of metrics defined by the user
         df = df[metrics]
 
-    # compute fractions, if needed
-    if aggfunc.endswith(" as Fraction of Total"):
-        total = df.sum().sum()
-        df = df.astype(total.dtypes) / total
-    elif aggfunc.endswith(" as Fraction of Columns"):
-        total = df.sum(axis=axis["rows"])
-        df = df.astype(total.dtypes).div(total, axis=axis["columns"])
-    elif aggfunc.endswith(" as Fraction of Rows"):
-        total = df.sum(axis=axis["columns"])
-        df = df.astype(total.dtypes).div(total, axis=axis["rows"])
+    # Compute fractions, if needed. `showValuesAs` supersedes the pre-SIP-216
+    # "... as Fraction of ..." aggregate functions, and is applied after the
+    # totals below so each total divides by its own rollup, as the chart does.
+    if not percent_mode:
+        if aggfunc.endswith(" as Fraction of Total"):
+            total = df.sum().sum()
+            df = df.astype(total.dtypes) / total
+        elif aggfunc.endswith(" as Fraction of Columns"):
+            total = df.sum(axis=axis["rows"])
+            df = df.astype(total.dtypes).div(total, axis=axis["columns"])
+        elif aggfunc.endswith(" as Fraction of Rows"):
+            total = df.sum(axis=axis["columns"])
+            df = df.astype(total.dtypes).div(total, axis=axis["rows"])
 
     # convert to a MultiIndex to simplify logic
     if not isinstance(df.index, pd.MultiIndex):
@@ -167,6 +602,31 @@ def pivot_df(  # pylint: disable=too-many-locals, too-many-arguments, too-many-s
     if not isinstance(df.columns, pd.MultiIndex):
         df.columns = pd.MultiIndex.from_tuples([(str(i),) for i in df.columns])
 
+    # Rollups follow each metric's own reducer under a percent mode, so a total
+    # still divides by itself: a MAX metric's row total is the row's maximum,
+    # and dividing that maximum by itself reads 100%.
+    totals_metric_level = df.columns.nlevels - 1 if combine_metrics else 0
+    # A column carrying a total label rather than a metric name rolls up
+    # everything; with no metric to resolve it to, it sums.
+    cross_metric_reducer = (
+        reducers.get(metrics[0], DEFAULT_ROLLUP_REDUCER)
+        if len(set(metrics)) == 1
+        else DEFAULT_ROLLUP_REDUCER
+    )
+
+    def collapse(block: pd.DataFrame) -> tuple[pd.DataFrame, str]:
+        """Narrow a total's source columns to one metric, and pick its reducer."""
+        metric_names = set(metrics)
+        present = [
+            _metric_of_column(column, totals_metric_level) for column in block.columns
+        ]
+        known = [metric for metric in present if metric in metric_names]
+        metric = _collapsed_metric(known, metrics) if known else None
+        if metric is None:
+            return block, cross_metric_reducer
+        keep = [column == metric for column in present]
+        return block.loc[:, keep], reducers.get(str(metric), DEFAULT_ROLLUP_REDUCER)
+
     if show_rows_total:
         # add subtotal for each group and overall total; we start from the
         # overall group, and iterate deeper into subgroups
@@ -187,12 +647,27 @@ def pivot_df(  # pylint: disable=too-many-locals, too-many-arguments, too-many-s
             subgroups = {group[:level] for group in groups}
             for subgroup in subgroups:
                 slice_ = df.columns.get_loc(subgroup)
-                subtotal = pivot_v2_aggfunc_map[aggfunc](df.iloc[:, slice_], axis=1)
+                block = df.iloc[:, slice_]
+                if aggfunc != CURRENCY_CONTEXT_AGGREGATION:
+                    # A metric column can hold non-numeric values (a literal
+                    # "NULL", say), which a reduction across columns cannot add
+                    # to a number. The row totals below already coerce; do the
+                    # same here so a total means the same thing on both axes.
+                    block = block.apply(pd.to_numeric, errors="coerce")
+                if percent_mode:
+                    source, reducer = collapse(block)
+                    subtotal = _reduce(source, reducer, axis=1)
+                else:
+                    subtotal = pivot_v2_aggfunc_map[aggfunc](block, axis=1)
                 depth = df.columns.nlevels - len(subgroup) - 1
                 total = metric_name if level == 0 else __("Subtotal")
                 subtotal_name = tuple([*subgroup, total, *([""] * depth)])  # noqa: C409
                 # insert column after subgroup
                 df.insert(int(slice_.stop), subtotal_name, subtotal)
+                inserted_columns.append(subtotal_name)
+                column_prefix_depth[subtotal_name] = (
+                    level if combine_metrics else max(0, level - 1)
+                )
 
     if rows and show_columns_total:
         # add subtotal for each group and overall total; we start from the
@@ -216,7 +691,12 @@ def pivot_df(  # pylint: disable=too-many-locals, too-many-arguments, too-many-s
                     subtotal_values = subtotal_values.apply(
                         pd.to_numeric, errors="coerce"
                     )
-                subtotal = pivot_v2_aggfunc_map[aggfunc](subtotal_values, axis=0)
+                if percent_mode:
+                    subtotal = subtotal_values.apply(
+                        lambda series: _reduce(series, collapse(series.to_frame())[1])
+                    )
+                else:
+                    subtotal = pivot_v2_aggfunc_map[aggfunc](subtotal_values, axis=0)
                 depth = groups.nlevels - len(subgroup) - 1
                 total = metric_name if level == 0 else __("Subtotal")
                 subtotal.name = tuple([*subgroup, total, *([""] * depth)])  # noqa: C409
@@ -224,6 +704,46 @@ def pivot_df(  # pylint: disable=too-many-locals, too-many-arguments, too-many-s
                 df = pd.concat(
                     [df[: slice_.stop], subtotal.to_frame().T, df[slice_.stop :]]
                 )
+                inserted_rows.append(subtotal.name)
+                row_prefix_depth[subtotal.name] = level
+
+    if percent_mode and rollup_levels:
+        df = _apply_rollup_totals(
+            df,
+            rows,
+            columns,
+            metrics,
+            rollup_levels,
+            totals_metric_level,
+            row_prefix_depth,
+            column_prefix_depth,
+        )
+
+    if percent_mode:
+        df = _apply_show_values_as(
+            df,
+            percent_mode,
+            axis,
+            metrics,
+            combine_metrics,
+            inserted_rows,
+            inserted_columns,
+            reducers,
+            _rollup_denominators(
+                df,
+                percent_mode,
+                rows,
+                columns,
+                metrics,
+                rollup_levels or {},
+                totals_metric_level,
+                row_prefix_depth,
+                column_prefix_depth,
+                apply_metrics_on_rows,
+            )
+            if rollup_levels
+            else None,
+        )
 
     # if we want to apply the metrics on the rows we need to pivot the
     # dataframe back
@@ -452,6 +972,9 @@ def build_pivot_currency_context(
         **pivot_options,
         "aggfunc": CURRENCY_CONTEXT_AGGREGATION,
         "metric_name_aggfunc": pivot_options["aggfunc"],
+        # Cells here hold currency-code sets, not numbers, so a percent
+        # transform would coerce them away.
+        "show_values_as": None,
     }
     return pivot_df(currency_source, **currency_pivot_options)
 
@@ -531,6 +1054,14 @@ def pivot_table_v2(
     """
     verbose_map = datasource.data["verbose_map"] if datasource else None
     metrics = get_metric_names(form_data["metrics"], verbose_map)
+    # A non-additive metric makes the chart query every rollup level at once:
+    # the leaf rows describe the table, the rest are its database-computed
+    # totals.
+    df, rollup_levels = split_grouping_sets_levels(df)
+    show_values_as = form_data.get("showValuesAs")
+    percent_mode = (
+        show_values_as if show_values_as in SHOW_VALUES_AS_PERCENT_MODES else None
+    )
     pivot_options: dict[str, Any] = {
         "rows": get_column_names(form_data.get("groupbyRows"), verbose_map),
         "columns": get_column_names(form_data.get("groupbyColumns"), verbose_map),
@@ -541,10 +1072,26 @@ def pivot_table_v2(
         "show_rows_total": bool(form_data.get("rowTotals")),
         "show_columns_total": bool(form_data.get("colTotals")),
         "apply_metrics_on_rows": form_data.get("metricsLayout") == "ROWS",
+        "show_values_as": percent_mode,
+        "metric_rollup_reducers": get_metric_rollup_reducers(
+            form_data["metrics"], verbose_map
+        ),
+        "rollup_levels": rollup_levels,
     }
 
     pivoted = pivot_df(df, **pivot_options)
     if apply_number_format:
+        if percent_mode:
+            # A ratio has no currency and ignores per-metric value formats, the
+            # same way the client skips `formattedAggregators` while a fraction
+            # is active.
+            return apply_pivot_number_formats(
+                pivoted,
+                form_data,
+                detected_currency,
+                datasource,
+                force_number_format=PERCENT_1_POINT,
+            )
         currency_context = None
         if (
             pivot_options["aggfunc"] not in PIVOT_AGGREGATIONS_WITHOUT_CURRENCY_CONTEXT
@@ -573,6 +1120,7 @@ def apply_pivot_number_formats(
     detected_currency: Optional[str] = None,
     datasource: Optional[Union["BaseDatasource", "Query"]] = None,
     currency_context: Optional[pd.DataFrame] = None,
+    force_number_format: Optional[str] = None,
 ) -> pd.DataFrame:
     """
     Apply `valueFormat`/`columnFormats` and currency config to pivot values.
@@ -580,11 +1128,20 @@ def apply_pivot_number_formats(
     The metric name is the first column level, or the last when `combineMetric`
     moves it there; in the ROWS metrics layout it is on the index instead.
     Per-metric overrides fall back to the global value format.
+
+    `force_number_format` applies one d3 format to every metric and drops the
+    currency config, for values whose configured format no longer applies.
     """
     value_format = form_data.get("valueFormat")
     column_formats = merge_column_formats(form_data, datasource)
     currency_format = get_pivot_currency_format(form_data)
     currency_formats = merge_currency_formats(form_data, datasource)
+    if force_number_format:
+        value_format = force_number_format
+        column_formats = {}
+        currency_format = {}
+        currency_formats = {}
+        currency_context = None
     metric_level = -1 if form_data.get("combineMetric") else 0
     metrics_on_rows = form_data.get("metricsLayout") == "ROWS"
 
@@ -886,6 +1443,15 @@ def apply_client_processing(  # noqa: C901
             excel.apply_column_types(processed_df, query["coltypes"])
             query["data"] = excel.df_to_excel(
                 processed_df,
+                # A percent mode leaves every cell a fraction. Excel can render
+                # those as percentages without turning them into text, so the
+                # workbook reads like the chart and still calculates.
+                number_format=(
+                    EXCEL_PERCENT_FORMAT
+                    if viz_type == "pivot_table_v2"
+                    and form_data.get("showValuesAs") in SHOW_VALUES_AS_PERCENT_MODES
+                    else None
+                ),
                 **{
                     **current_app.config["EXCEL_EXPORT"],
                     "index": show_default_index,
diff --git a/superset/constants.py b/superset/constants.py
index 3ceede47bdb8..a80f7203f8d1 100644
--- a/superset/constants.py
+++ b/superset/constants.py
@@ -241,6 +241,26 @@ class PandasAxis(int, Enum):
     COLUMN = 1
 
 
+class ShowValuesAs(StrEnum):
+    """
+    Pivot table "Show values as" modes.
+
+    Mirrors ``ShowValuesAsEnum`` in the pivot table plugin's ``types.ts``. The
+    value reaches the backend verbatim in the chart's form data, and is honored
+    by both the pandas postprocessing ``pivot`` operator and the server-side
+    render of the chart used for exports and reports.
+    """
+
+    ACTUAL = "actual"
+    PERCENT_OF_ROW = "percent_row"
+    PERCENT_OF_COLUMN = "percent_col"
+    PERCENT_OF_TOTAL = "percent_total"
+
+
+# The modes that transform values; ``ACTUAL`` (like ``None``) is a no-op.
+SHOW_VALUES_AS_PERCENT_MODES = frozenset(ShowValuesAs) - {ShowValuesAs.ACTUAL}
+
+
 class PandasPostprocessingCompare(StrEnum):
     DIFF = "difference"
     PCT = "percentage"
diff --git a/superset/utils/excel.py b/superset/utils/excel.py
index a5ea7feed4bc..516ca6186d2c 100644
--- a/superset/utils/excel.py
+++ b/superset/utils/excel.py
@@ -16,7 +16,7 @@
 # under the License.
 import io
 from datetime import datetime
-from typing import Any
+from typing import Any, Optional
 
 import pandas as pd
 
@@ -91,7 +91,17 @@ def quote_formulas(df: pd.DataFrame) -> pd.DataFrame:
     return df.rename_axis(index=_quote_formula, columns=_quote_formula)
 
 
-def df_to_excel(df: pd.DataFrame, **kwargs: Any) -> Any:
+def df_to_excel(
+    df: pd.DataFrame, number_format: Optional[str] = None, **kwargs: Any
+) -> Any:
+    """
+    Serialize a DataFrame to an xlsx workbook.
+
+    :param number_format: optional Excel format code applied to the data
+           columns, e.g. ``"0.0%"``. Applying it as a cell format rather than
+           writing formatted text keeps the underlying value numeric, so the
+           spreadsheet still sums and charts it.
+    """
     output = io.BytesIO()
 
     # make sure formulas are quoted, to prevent malicious injections
@@ -101,6 +111,20 @@ def df_to_excel(df: pd.DataFrame, **kwargs: Any) -> Any:
     with pd.ExcelWriter(output, engine="xlsxwriter") as writer:
         df.to_excel(writer, **kwargs)
 
+        if number_format and writer.sheets:
+            worksheet = next(iter(writer.sheets.values()))
+            # The sheet may start past column A, and the index occupies the
+            # leading columns when it is written out.
+            first_data_column = kwargs.get("startcol", 0) + (
+                df.index.nlevels if kwargs.get("index", True) else 0
+            )
+            worksheet.set_column(
+                first_data_column,
+                first_data_column + len(df.columns) - 1,
+                None,
+                writer.book.add_format({"num_format": number_format}),
+            )
+
         # Reset workbook document properties so the exported file does not
         # carry identifying details (authoring info, generation timestamps).
         writer.book.set_properties(NEUTRAL_DOCUMENT_PROPERTIES)
diff --git a/superset/utils/pandas_postprocessing/pivot.py b/superset/utils/pandas_postprocessing/pivot.py
index e18382935a38..722def27dbb6 100644
--- a/superset/utils/pandas_postprocessing/pivot.py
+++ b/superset/utils/pandas_postprocessing/pivot.py
@@ -20,15 +20,18 @@
 from flask_babel import gettext as _
 from pandas import DataFrame
 
-from superset.constants import NULL_STRING, PandasAxis
+from superset.constants import (
+    NULL_STRING,
+    PandasAxis,
+    SHOW_VALUES_AS_PERCENT_MODES,
+    ShowValuesAs,
+)
 from superset.exceptions import InvalidPostProcessingError
 from superset.utils.pandas_postprocessing.utils import (
     _get_aggregate_funcs,
     validate_column_args,
 )
 
-_PERCENT_MODES = frozenset({"percent_row", "percent_col", "percent_total"})
-
 # Aggregate operator names that produce additive results across groups —
 # the sum of the per-cell values equals the row/column/grand rollup the
 # database would compute over the underlying rows. ``show_values_as``
@@ -60,10 +63,10 @@ def _apply_percent_transform_to_group(g: DataFrame, mode: str) -> DataFrame:
     from division-by-zero, matching the client's ``if (acc === null)
     return null`` guard in ``fractionOf``.
     """
-    if mode == "percent_row":
+    if mode == ShowValuesAs.PERCENT_OF_ROW:
         row_totals = g.sum(axis=PandasAxis.COLUMN, skipna=True).replace(0, float("nan"))
         return _div_preserving_nan(g, row_totals, axis=PandasAxis.ROW)
-    if mode == "percent_col":
+    if mode == ShowValuesAs.PERCENT_OF_COLUMN:
         col_totals = g.sum(axis=PandasAxis.ROW, skipna=True).replace(0, float("nan"))
         return _div_preserving_nan(g, col_totals, axis=PandasAxis.COLUMN)
     # percent_total
@@ -250,8 +253,8 @@ def pivot(  # pylint: disable=too-many-arguments  # noqa: C901
     # ``""`` / ``"actual"`` are the no-op sentinels — anything else must
     # be a known percent mode.
     percent_mode: Optional[str] = None
-    if show_values_as not in (None, "", "actual"):
-        if show_values_as not in _PERCENT_MODES:
+    if show_values_as not in (None, "", ShowValuesAs.ACTUAL):
+        if show_values_as not in SHOW_VALUES_AS_PERCENT_MODES:
             raise InvalidPostProcessingError(
                 _(
                     "Unsupported show_values_as value: %(mode)s. "
diff --git a/tests/unit_tests/charts/test_client_processing.py b/tests/unit_tests/charts/test_client_processing.py
index d5c437e07954..1d3bbca6f49b 100644
--- a/tests/unit_tests/charts/test_client_processing.py
+++ b/tests/unit_tests/charts/test_client_processing.py
@@ -16,6 +16,7 @@
 # under the License.
 
 from io import BytesIO, StringIO
+from typing import Any
 from unittest.mock import MagicMock
 
 import pandas as pd
@@ -522,11 +523,11 @@ def test_pivot_df_single_row_null_values():
     assert (
         pivoted.to_markdown()
         == """
-|                  |   ('SUM(num)',) |   ('MAX(num)',) | ('Total (Sum)',)   |
-|:-----------------|----------------:|----------------:|:-------------------|
-| ('boy',)         |             nan |             nan | nannan             |
-| ('girl',)        |          118065 |            2588 | 120653.0           |
-| ('Total (Sum)',) |          118065 |            2588 | 120653.0           |
+|                  |   ('SUM(num)',) |   ('MAX(num)',) |   ('Total (Sum)',) |
+|:-----------------|----------------:|----------------:|-------------------:|
+| ('boy',)         |             nan |             nan |                  0 |
+| ('girl',)        |          118065 |            2588 |             120653 |
+| ('Total (Sum)',) |          118065 |            2588 |             120653 |
     """.strip()
     )
 
@@ -546,15 +547,12 @@ def test_pivot_df_single_row_null_values():
     assert (
         pivoted.to_markdown()
         == f"""
-|                          |   ('{_("Total")} (Sum)',) |
-|:-------------------------|-------------------:|
-| ('SUM(num)', 'boy')      |                nan |
-| ('SUM(num)', 'girl')     |             118065 |
-| ('SUM(num)', 'Subtotal') |             118065 |
-| ('MAX(num)', 'boy')      |                nan |
-| ('MAX(num)', 'girl')     |               2588 |
-| ('MAX(num)', 'Subtotal') |               2588 |
-| ('{_("Total")} (Sum)', '')      |             120653 |
+|                      |   ('{_("Total")} (Sum)',) |
+|:---------------------|-------------------:|
+| ('SUM(num)', 'boy')  |                nan |
+| ('SUM(num)', 'girl') |             118065 |
+| ('MAX(num)', 'boy')  |                nan |
+| ('MAX(num)', 'girl') |               2588 |
     """.strip()
     )
 
@@ -692,11 +690,11 @@ def test_pivot_df_single_row_null_mix_values_strings():
     assert (
         pivoted.to_markdown()
         == """
-|                  | ('SUM(num)',)   |   ('MAX(num)',) | ('Total (Sum)',)   |
-|:-----------------|:----------------|----------------:|:-------------------|
-| ('boy',)         | NULL            |             nan | NULLnan            |
-| ('girl',)        | 118065          |            2588 | 120653.0           |
-| ('Total (Sum)',) | 118065.0        |            2588 | 120653.0           |
+|                  | ('SUM(num)',)   |   ('MAX(num)',) |   ('Total (Sum)',) |
+|:-----------------|:----------------|----------------:|-------------------:|
+| ('boy',)         | NULL            |             nan |                  0 |
+| ('girl',)        | 118065          |            2588 |             120653 |
+| ('Total (Sum)',) | 118065.0        |            2588 |             120653 |
     """.strip()
     )
 
@@ -720,8 +718,11 @@ def test_pivot_df_single_row_null_mix_values_strings():
 |:---------------------|:-------------------|
 | ('boy', 'SUM(num)')  | NULL               |
 | ('boy', 'MAX(num)')  | nan                |
+| ('boy', 'Subtotal')  | 0.0                |
 | ('girl', 'SUM(num)') | 118065             |
 | ('girl', 'MAX(num)') | 2588.0             |
+| ('girl', 'Subtotal') | 120653.0           |
+| ('Total (Sum)', '')  | 120653.0           |
     """.strip()
     )
 
@@ -853,12 +854,15 @@ def test_pivot_df_single_row_null_mix_values_numbers():
     assert (
         pivoted.to_markdown()
         == """
-|                      |   ('Total (Sum)',) |
-|:---------------------|-------------------:|
-| ('SUM(num)', 'boy')  |                 21 |
-| ('SUM(num)', 'girl') |             118065 |
-| ('MAX(num)', 'boy')  |                nan |
-| ('MAX(num)', 'girl') |               2588 |
+|                          |   ('Total (Sum)',) |
+|:-------------------------|-------------------:|
+| ('SUM(num)', 'boy')      |                 21 |
+| ('SUM(num)', 'girl')     |             118065 |
+| ('SUM(num)', 'Subtotal') |             118086 |
+| ('MAX(num)', 'boy')      |                nan |
+| ('MAX(num)', 'girl')     |               2588 |
+| ('MAX(num)', 'Subtotal') |               2588 |
+| ('Total (Sum)', '')      |             120674 |
     """.strip()
     )
 
@@ -882,8 +886,11 @@ def test_pivot_df_single_row_null_mix_values_numbers():
 |:---------------------|-------------------:|
 | ('boy', 'SUM(num)')  |                 21 |
 | ('boy', 'MAX(num)')  |                nan |
+| ('boy', 'Subtotal')  |                 21 |
 | ('girl', 'SUM(num)') |             118065 |
 | ('girl', 'MAX(num)') |               2588 |
+| ('girl', 'Subtotal') |             120653 |
+| ('{_("Total")} (Sum)', '')  |             120674 |
     """.strip()
     )
 
@@ -1804,6 +1811,558 @@ def test_pivot_df_complex_null_values():
     )
 
 
+# --- `showValuesAs` percent modes (#42809) -----------------------------------
+#
+# Exports and scheduled reports render server-side, so they have to reproduce
+# the client's `fractionOf` aggregator: each cell over its row, column, or grand
+# total, computed per metric, with totals dividing by their own rollup rather
+# than summing the fractions around them.
+
+SHOW_VALUES_AS_OPTIONS: dict[str, Any] = {
+    "rows": ["nation"],
+    "columns": ["gender"],
+    "metrics": ["SUM(num)"],
+    "aggfunc": "Sum",
+    "transpose_pivot": False,
+    "combine_metrics": False,
+    "show_rows_total": True,
+    "show_columns_total": True,
+    "apply_metrics_on_rows": False,
+}
+
+
+def show_values_as_df() -> pd.DataFrame:
+    """A 2x2 pivot: row totals 40/40, column totals 30/50, grand total 80."""
+    return pd.DataFrame(
+        {
+            "nation": ["US", "US", "UK", "UK"],
+            "gender": ["boy", "girl", "boy", "girl"],
+            "SUM(num)": [10, 30, 20, 20],
+        }
+    )
+
+
+def total_label() -> str:
+    return f"{_('Total')} (Sum)"
+
+
+def test_pivot_df_show_values_as_percent_row():
+    pivoted = pivot_df(
+        show_values_as_df(), **SHOW_VALUES_AS_OPTIONS, show_values_as="percent_row"
+    )
+    total = total_label()
+
+    assert pivoted.loc[("US",), ("SUM(num)", "boy")] == 0.25
+    assert pivoted.loc[("US",), ("SUM(num)", "girl")] == 0.75
+    assert pivoted.loc[("UK",), ("SUM(num)", "boy")] == 0.5
+    # a row is always 100% of itself
+    assert pivoted.loc[("US",), (total, "")] == 1
+    # the totals row shows each column's share of the grand total (30/80 and
+    # 50/80), not the sum of the fractions above it
+    assert pivoted.loc[(total,), ("SUM(num)", "boy")] == 0.375
+    assert pivoted.loc[(total,), ("SUM(num)", "girl")] == 0.625
+    assert pivoted.loc[(total,), (total, "")] == 1
+
+
+def test_pivot_df_show_values_as_percent_col():
+    pivoted = pivot_df(
+        show_values_as_df(), **SHOW_VALUES_AS_OPTIONS, show_values_as="percent_col"
+    )
+    total = total_label()
+
+    assert pivoted.loc[("US",), ("SUM(num)", "boy")] == pytest.approx(1 / 3)
+    assert pivoted.loc[("UK",), ("SUM(num)", "boy")] == pytest.approx(2 / 3)
+    assert pivoted.loc[("US",), ("SUM(num)", "girl")] == 0.6
+    # a column is always 100% of itself
+    assert pivoted.loc[(total,), ("SUM(num)", "boy")] == 1
+    # the totals column shows each row's share of the grand total
+    assert pivoted.loc[("US",), (total, "")] == 0.5
+
+
+def test_pivot_df_show_values_as_percent_total():
+    pivoted = pivot_df(
+        show_values_as_df(), **SHOW_VALUES_AS_OPTIONS, show_values_as="percent_total"
+    )
+    total = total_label()
+
+    assert pivoted.loc[("US",), ("SUM(num)", "boy")] == 0.125
+    assert pivoted.loc[("US",), ("SUM(num)", "girl")] == 0.375
+    assert pivoted.loc[("UK",), ("SUM(num)", "boy")] == 0.25
+    assert pivoted.loc[(total,), ("SUM(num)", "boy")] == 0.375
+    assert pivoted.loc[("US",), (total, "")] == 0.5
+    assert pivoted.loc[(total,), (total, "")] == 1
+
+
+def test_pivot_df_show_values_as_keeps_metrics_separate():
+    """One metric's cells are never divided by another metric's total."""
+    df = show_values_as_df()
+    df["MAX(num)"] = [1, 3, 6, 10]
+    pivoted = pivot_df(
+        df,
+        **{**SHOW_VALUES_AS_OPTIONS, "metrics": ["SUM(num)", "MAX(num)"]},
+        show_values_as="percent_row",
+    )
+
+    assert pivoted.loc[("US",), ("SUM(num)", "boy")] == 0.25
+    assert pivoted.loc[("UK",), ("MAX(num)", "boy")] == 0.375
+    assert pivoted.loc[("UK",), ("MAX(num)", "girl")] == 0.625
+    # a total collapsing the metric axis resolves to one metric, as the
+    # renderer does, so it still divides by itself
+    assert pivoted.loc[("US",), (total_label(), "")] == 1
+
+
+def test_pivot_df_show_values_as_with_combined_metrics():
+    """`combineMetric` moves the metric to the lowest column level."""
+    df = show_values_as_df()
+    df["MAX(num)"] = [1, 3, 6, 10]
+    pivoted = pivot_df(
+        df,
+        **{
+            **SHOW_VALUES_AS_OPTIONS,
+            "metrics": ["SUM(num)", "MAX(num)"],
+            "combine_metrics": True,
+            "show_rows_total": False,
+            "show_columns_total": False,
+        },
+        show_values_as="percent_row",
+    )
+
+    assert pivoted.loc[("US",), ("boy", "SUM(num)")] == 0.25
+    assert pivoted.loc[("US",), ("girl", "SUM(num)")] == 0.75
+    # each metric keeps its own denominator across the combined layout
+    assert pivoted.loc[("UK",), ("boy", "MAX(num)")] == 0.375
+    assert pivoted.loc[("UK",), ("girl", "MAX(num)")] == 0.625
+
+
+def test_pivot_table_v2_show_values_as_uses_min_max_rollups():
+    """A MIN/MAX metric divides by the row's extreme, not its sum.
+
+    Mirrors `additiveReducerFor` in the plugin's `plugin/utilities.ts`: the
+    chart rolls a MAX metric up with max, so a row of [6, 10] reads 60%/100%.
+    """
+    df = pd.DataFrame(
+        {
+            "nation": ["US", "US", "UK", "UK"],
+            "gender": ["boy", "girl", "boy", "girl"],
+            "MAX(num)": [1, 3, 6, 10],
+        }
+    )
+    form_data = {
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": [
+            {
+                "expressionType": "SIMPLE",
+                "aggregate": "MAX",
+                "column": {"column_name": "num"},
+                "label": "MAX(num)",
+            }
+        ],
+        "showValuesAs": "percent_row",
+        "rowTotals": True,
+    }
+
+    pivoted = pivot_table_v2(df, form_data, apply_number_format=False)
+
+    assert pivoted.loc[("UK",), ("MAX(num)", "boy")] == 0.6
+    assert pivoted.loc[("UK",), ("MAX(num)", "girl")] == 1
+    # the total divides by itself whatever the reducer
+    assert pivoted.loc[("UK",), (total_label(), "")] == 1
+
+
+def grouping_sets_df() -> pd.DataFrame:
+    """A GROUPING SETS result whose rollups differ from any leaf reduction.
+
+    Leaves are 10 and 20, so a leaf-derived total would be 30 (sum) or 15
+    (mean). The database rollups are deliberately none of those: 18 down the
+    column, 11/21 across the rows, 19 overall -- as a weighted average or a
+    distinct count would be.
+    """
+    return pd.DataFrame(
+        {
+            "nation": ["US", "UK", None, "US", "UK", None],
+            "gender": ["boy", "boy", "boy", None, None, None],
+            "nation__superset_grouping": [0, 0, 1, 0, 0, 1],
+            "gender__superset_grouping": [0, 0, 0, 1, 1, 1],
+            "AVG(num)": [10, 20, 18, 11, 21, 19],
+        }
+    )
+
+
+def nested_grouping_sets_df() -> pd.DataFrame:
+    """Two row dimensions, so prefix subtotal rows appear beside the rollups.
+
+    Every level holds a value no leaf reduction would produce: the `{region}`
+    rollups are 17 and 24, `{region, nation}` are 18 and 25, `{gender}` are 26
+    and 24, and the grand total is 21.
+    """
+    records = [
+        # (region, nation, gender, rolled-up markers, value)
+        ("EU", "UK", "boy", (0, 0, 0), 10),
+        ("EU", "UK", "girl", (0, 0, 0), 30),
+        ("NA", "US", "boy", (0, 0, 0), 40),
+        ("NA", "US", "girl", (0, 0, 0), 20),
+        ("EU", "UK", None, (0, 0, 1), 18),
+        ("NA", "US", None, (0, 0, 1), 25),
+        ("EU", None, "boy", (0, 1, 0), 10),
+        ("EU", None, "girl", (0, 1, 0), 30),
+        ("NA", None, "boy", (0, 1, 0), 40),
+        ("NA", None, "girl", (0, 1, 0), 20),
+        ("EU", None, None, (0, 1, 1), 17),
+        ("NA", None, None, (0, 1, 1), 24),
+        (None, None, "boy", (1, 1, 0), 26),
+        (None, None, "girl", (1, 1, 0), 24),
+        (None, None, None, (1, 1, 1), 21),
+    ]
+    return pd.DataFrame(
+        [
+            {
+                "region": region,
+                "nation": nation,
+                "gender": gender,
+                "region__superset_grouping": markers[0],
+                "nation__superset_grouping": markers[1],
+                "gender__superset_grouping": markers[2],
+                "AVG(num)": value,
+            }
+            for region, nation, gender, markers, value in records
+        ]
+    )
+
+
+NESTED_FORM_DATA = {
+    "groupbyRows": ["region", "nation"],
+    "groupbyColumns": ["gender"],
+    "metrics": ["AVG(num)"],
+    "showValuesAs": "percent_row",
+    "rowTotals": True,
+    "colTotals": True,
+}
+
+
+def test_row_subtotal_keeps_its_total_column_cell():
+    """A subtotal row is not a whole-axis total; it must not be looked up as one."""
+    pivoted = pivot_table_v2(
+        nested_grouping_sets_df(), NESTED_FORM_DATA, apply_number_format=False
+    )
+
+    assert not pd.isna(pivoted.loc[("EU", "Subtotal"), (total_label(), "")])
+
+
+def test_row_subtotal_divides_by_its_own_rollup():
+    """An "EU" subtotal divides by the {region} rollup, not the grand total."""
+    pivoted = pivot_table_v2(
+        nested_grouping_sets_df(), NESTED_FORM_DATA, apply_number_format=False
+    )
+
+    assert pivoted.loc[("EU", "Subtotal"), ("AVG(num)", "boy")] == pytest.approx(
+        10 / 17
+    )
+    assert pivoted.loc[("NA", "Subtotal"), ("AVG(num)", "boy")] == pytest.approx(
+        40 / 24
+    )
+
+
+def test_nested_leaf_rows_still_divide_by_database_rollups():
+    """Regression guard: the leaf and whole-axis behaviour is unchanged."""
+    pivoted = pivot_table_v2(
+        nested_grouping_sets_df(), NESTED_FORM_DATA, apply_number_format=False
+    )
+
+    assert pivoted.loc[("EU", "UK"), ("AVG(num)", "boy")] == pytest.approx(10 / 18)
+    assert pivoted.loc[("NA", "US"), ("AVG(num)", "boy")] == pytest.approx(40 / 25)
+    assert pivoted.loc[("EU", "UK"), (total_label(), "")] == 1
+    assert pivoted.loc[(total_label(), ""), (total_label(), "")] == 1
+
+
+def test_pivot_table_v2_pivots_only_grouping_sets_leaf_rows():
+    """Rollup levels must not be pivoted as if they were leaf rows."""
+    form_data = {
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": ["AVG(num)"],
+        "showValuesAs": "percent_col",
+    }
+
+    pivoted = pivot_table_v2(grouping_sets_df(), form_data, apply_number_format=False)
+
+    # the rollup rows would otherwise add phantom rows for their NULL dimensions
+    assert len(pivoted.index) == 2
+
+
+@pytest.mark.parametrize(
+    "mode,expected",
+    [
+        # each leaf divides by the rollup the database computed, never by a
+        # total re-derived from the leaves
+        ("percent_col", 20 / 18),
+        ("percent_row", 20 / 21),
+        ("percent_total", 20 / 19),
+    ],
+)
+def test_pivot_table_v2_divides_by_database_rollups(mode: str, expected: float):
+    """For a non-additive metric the DB rollup is the only correct total."""
+    form_data = {
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": ["AVG(num)"],
+        "showValuesAs": mode,
+    }
+
+    pivoted = pivot_table_v2(grouping_sets_df(), form_data, apply_number_format=False)
+
+    assert pivoted.loc[("UK",), ("AVG(num)", "boy")] == pytest.approx(expected)
+
+
+def _axis_has_total(axis) -> bool:
+    return any(
+        total_label() in (label if isinstance(label, tuple) else (label,))
+        for label in axis
+    )
+
+
+@pytest.mark.parametrize("layout", ["COLUMNS", "ROWS"])
+@pytest.mark.parametrize("toggle", ["rowTotals", "colTotals"])
+def test_pivot_table_v2_totals_land_on_the_displayed_axis(layout: str, toggle: str):
+    """`rowTotals` is always the right-hand column, whatever the metrics layout.
+
+    Moving metrics to rows transposes the frame on the way out, which would
+    otherwise flip the axis each total was inserted on.
+    """
+    form_data = {
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": ["AVG(num)"],
+        "showValuesAs": "percent_row",
+        "metricsLayout": layout,
+        toggle: True,
+    }
+
+    pivoted = pivot_table_v2(grouping_sets_df(), form_data, apply_number_format=False)
+
+    assert _axis_has_total(pivoted.columns) is (toggle == "rowTotals")
+    assert _axis_has_total(pivoted.index) is (toggle == "colTotals")
+
+
+def test_pivot_table_v2_uses_database_rollups_with_metrics_on_rows():
+    """The metrics layout moves the displayed axes but not the rollup levels."""
+    form_data = {
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": ["AVG(num)"],
+        "showValuesAs": "percent_col",
+        "metricsLayout": "ROWS",
+    }
+
+    pivoted = pivot_table_v2(grouping_sets_df(), form_data, apply_number_format=False)
+
+    # 20/18 and 10/18 from the database rollup, not 20/30 from the leaf sum
+    assert pivoted.loc[("AVG(num)", "UK"), ("boy",)] == pytest.approx(20 / 18)
+    assert pivoted.loc[("AVG(num)", "US"), ("boy",)] == pytest.approx(10 / 18)
+
+
+def test_pivot_table_v2_keeps_a_null_rollup_blank():
+    """A NULL rollup is not a missing one: it blanks the cell, as the chart does."""
+    df = grouping_sets_df()
+    df.loc[df["nation"].isna() & df["gender"].notna(), "AVG(num)"] = None
+    form_data = {
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": ["AVG(num)"],
+        "showValuesAs": "percent_col",
+    }
+
+    pivoted = pivot_table_v2(df, form_data, apply_number_format=False)
+
+    # falling back to the leaf-derived total would have produced 10/30 here
+    assert pd.isna(pivoted.loc[("US",), ("AVG(num)", "boy")])
+
+
+def test_pivot_table_v2_rollup_totals_divide_by_themselves():
+    """A whole-axis total takes its value from the same level as its denominator."""
+    form_data = {
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": ["AVG(num)"],
+        "showValuesAs": "percent_row",
+        "rowTotals": True,
+    }
+
+    pivoted = pivot_table_v2(grouping_sets_df(), form_data, apply_number_format=False)
+
+    # 21/21, not the leaf sum over the database row rollup
+    assert pivoted.loc[("UK",), (total_label(), "")] == 1
+
+
+def test_pivot_df_show_values_as_metrics_on_rows():
+    pivoted = pivot_df(
+        show_values_as_df(),
+        **{**SHOW_VALUES_AS_OPTIONS, "apply_metrics_on_rows": True},
+        show_values_as="percent_col",
+    )
+    total = total_label()
+
+    assert pivoted.loc[("SUM(num)", "US"), ("boy",)] == pytest.approx(1 / 3)
+    assert pivoted.loc[("SUM(num)", "US"), ("girl",)] == 0.6
+    assert pivoted.loc[("SUM(num)", "US"), (total,)] == 0.5
+    assert pivoted.loc[(total, ""), ("boy",)] == 1
+
+
+def test_pivot_df_show_values_as_zero_denominator_is_blank():
+    """A zero total renders blank rather than infinity."""
+    df = show_values_as_df()
+    df.loc[df["nation"] == "UK", "SUM(num)"] = 0
+    pivoted = pivot_df(df, **SHOW_VALUES_AS_OPTIONS, show_values_as="percent_row")
+
+    assert pd.isna(pivoted.loc[("UK",), ("SUM(num)", "boy")])
+    assert pivoted.loc[("US",), ("SUM(num)", "boy")] == 0.25
+
+
+def test_pivot_df_show_values_as_skips_empty_cells_in_denominators():
+    """A sparse pivot leaves NaN cells; they must not blank the whole table."""
+    df = show_values_as_df()
+    # drop UK/girl entirely, so that cell has no rows and pivots to NaN
+    sparse = df[~((df["nation"] == "UK") & (df["gender"] == "girl"))]
+    options = {**SHOW_VALUES_AS_OPTIONS, "show_rows_total": False}
+
+    pivoted = pivot_df(sparse, **options, show_values_as="percent_total")
+
+    # grand total is 10 + 30 + 20 = 60, the NaN cell contributing nothing
+    assert pivoted.loc[("US",), ("SUM(num)", "boy")] == pytest.approx(10 / 60)
+    assert pivoted.loc[("UK",), ("SUM(num)", "boy")] == pytest.approx(20 / 60)
+    assert pd.isna(pivoted.loc[("UK",), ("SUM(num)", "girl")])
+
+
+@pytest.mark.parametrize("aggfunc", ["Sum", "Average", "Maximum"])
+def test_pivot_df_show_values_as_ignores_legacy_aggregate_function(aggfunc: str):
+    """A total always divides by itself, whatever `aggregateFunction` says.
+
+    The chart ignores `aggregateFunction` post-SIP-216, so a percent export must
+    too: computing totals with it while the denominators sum leaves the Total
+    row/column reading something other than 100%.
+    """
+    pivoted = pivot_df(
+        show_values_as_df(),
+        **{**SHOW_VALUES_AS_OPTIONS, "aggfunc": aggfunc},
+        show_values_as="percent_row",
+    )
+    total = total_label()
+
+    assert pivoted.loc[("US",), (total, "")] == 1
+    assert pivoted.loc[(total,), (total, "")] == 1
+    assert pivoted.loc[("US",), ("SUM(num)", "boy")] == 0.25
+
+
+def test_pivot_df_show_values_as_supersedes_legacy_fraction_aggfunc():
+    """`showValuesAs` wins over a pre-SIP-216 fraction aggregate function."""
+    pivoted = pivot_df(
+        show_values_as_df(),
+        **{**SHOW_VALUES_AS_OPTIONS, "aggfunc": "Sum as Fraction of Total"},
+        show_values_as="percent_row",
+    )
+
+    assert pivoted.loc[("US",), ("SUM(num)", "boy")] == 0.25
+
+
+def test_pivot_table_v2_show_values_as_formats_as_percent() -> None:
+    """A ratio ignores the configured value format and currency, as the chart does."""
+    result = pivot_table_v2(
+        show_values_as_df(),
+        {
+            "groupbyRows": ["nation"],
+            "groupbyColumns": ["gender"],
+            "metrics": ["SUM(num)"],
+            "showValuesAs": "percent_total",
+            "valueFormat": "$,.2f",
+            "currencyFormat": {"symbol": "USD", "symbolPosition": "prefix"},
+        },
+    )
+
+    assert result.loc[("US",), ("SUM(num)", "boy")] == "12.5%"
+    assert result.loc[("US",), ("SUM(num)", "girl")] == "37.5%"
+
+
+def test_pivot_table_v2_show_values_as_actual_keeps_raw_values() -> None:
+    result = pivot_table_v2(
+        show_values_as_df(),
+        {
+            "groupbyRows": ["nation"],
+            "groupbyColumns": ["gender"],
+            "metrics": ["SUM(num)"],
+            "showValuesAs": "actual",
+            "valueFormat": ",d",
+        },
+    )
+
+    assert result.loc[("US",), ("SUM(num)", "boy")] == "10"
+
+
+def test_apply_client_processing_xlsx_formats_percentages_as_cells():
+    """The workbook shows percentages without giving up numeric cells.
+
+    A scheduled XLSX report and the browser's pivoted-Excel download have to
+    agree; writing formatted text would match the download but stop Excel from
+    summing the column.
+    """
+    import openpyxl  # noqa: PLC0415
+
+    source = pd.DataFrame(
+        {"nation": ["US", "US"], "gender": ["boy", "girl"], "SUM(num)": [1, 99]}
+    )
+    result = {
+        "queries": [
+            {
+                "result_format": ChartDataResultFormat.XLSX,
+                "data": excel.df_to_excel(source, index=False),
+            }
+        ]
+    }
+    form_data = {
+        "viz_type": "pivot_table_v2",
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": ["SUM(num)"],
+        "showValuesAs": "percent_row",
+        "metricsLayout": "COLUMNS",
+    }
+
+    processed = apply_client_processing(result, form_data)
+
+    workbook = openpyxl.load_workbook(BytesIO(processed["queries"][0]["data"]))
+    sheet = workbook.active
+    assert sheet.cell(row=2, column=2).value == pytest.approx(0.01)
+    assert sheet.cell(row=2, column=2).number_format == "0.0%"
+
+
+def test_apply_client_processing_csv_format_show_values_as():
+    """CSV exports carry the percentages the chart displays."""
+    result = {
+        "queries": [
+            {
+                "result_format": ChartDataResultFormat.CSV,
+                "data": (
+                    "nation,gender,SUM(num)\n"
+                    "US,boy,10\nUS,girl,30\nUK,boy,20\nUK,girl,20\n"
+                ),
+            }
+        ]
+    }
+    form_data = {
+        "viz_type": "pivot_table_v2",
+        "groupbyRows": ["nation"],
+        "groupbyColumns": ["gender"],
+        "metrics": ["SUM(num)"],
+        "showValuesAs": "percent_row",
+        "metricsLayout": "COLUMNS",
+    }
+
+    processed = apply_client_processing(result, form_data)
+
+    assert processed["queries"][0]["data"] == (
+        ",SUM(num) boy,SUM(num) girl\nUK,0.5,0.5\nUS,0.25,0.75\n"
+    )
+
+
 def test_table():
     """
     Test that the table reports honor `d3NumberFormat`.