diff --git a/doc/whats-new.rst b/doc/whats-new.rst
index 2f1d76d7abc..ab45f4773e3 100644
--- a/doc/whats-new.rst
+++ b/doc/whats-new.rst
@@ -57,6 +57,14 @@ Internal Changes
   runtime behavior. This enables CI integration for type stub validation and helps
   prevent type annotation regressions (:issue:`11086`).
   By `Kristian Kollsgård <https://github.com/kkollsga>`_.
+- Add flox support for :py:meth:`DataArray.groupby().median`,
+  :py:meth:`Dataset.groupby().median`, :py:meth:`DataArray.resample().median`, and
+  :py:meth:`Dataset.resample().median`. This significantly speeds up median reductions
+  when flox is installed and the data chunking allows blockwise processing. For
+  incompatible chunking, a fallback to the non-flox implementation ensures backward
+  compatibility. (:issue:`11238`, :pull:`11239`). By `Samuel Le Meur-Diebolt
+  <https://github.com/sdiebolt>`_.
+
 
 .. _whats-new.2026.02.0:
 
diff --git a/xarray/core/_aggregations.py b/xarray/core/_aggregations.py
index 52f6557a8ad..fd47b8121a8 100644
--- a/xarray/core/_aggregations.py
+++ b/xarray/core/_aggregations.py
@@ -4911,6 +4911,28 @@ def median(
         Data variables:
             da       (labels) float64 24B nan 2.0 1.5
         """
+        if (
+            flox_available
+            and OPTIONS["use_flox"]
+            and contains_only_chunked_or_numpy(self._obj)
+        ):
+            try:
+                return self._flox_reduce(
+                    func="median",
+                    dim=dim,
+                    skipna=skipna,
+                    numeric_only=True,
+                    # fill_value=fill_value,
+                    keep_attrs=keep_attrs,
+                    **kwargs,
+                )
+            except ValueError as e:
+                if "median is only supported for `method='blockwise'`" in str(e):
+                    # Fall back to non-flox implementation when chunking doesn't
+                    # allow blockwise processing
+                    pass
+                else:
+                    raise
         return self.reduce(
             duck_array_ops.median,
             dim=dim,
@@ -6407,6 +6429,28 @@ def median(
         Data variables:
             da       (time) float64 24B 1.0 2.0 nan
         """
+        if (
+            flox_available
+            and OPTIONS["use_flox"]
+            and contains_only_chunked_or_numpy(self._obj)
+        ):
+            try:
+                return self._flox_reduce(
+                    func="median",
+                    dim=dim,
+                    skipna=skipna,
+                    numeric_only=True,
+                    # fill_value=fill_value,
+                    keep_attrs=keep_attrs,
+                    **kwargs,
+                )
+            except ValueError as e:
+                if "median is only supported for `method='blockwise'`" in str(e):
+                    # Fall back to non-flox implementation when chunking doesn't
+                    # allow blockwise processing
+                    pass
+                else:
+                    raise
         return self.reduce(
             duck_array_ops.median,
             dim=dim,
@@ -7804,6 +7848,27 @@ def median(
         Coordinates:
           * labels   (labels) object 24B 'a' 'b' 'c'
         """
+        if (
+            flox_available
+            and OPTIONS["use_flox"]
+            and contains_only_chunked_or_numpy(self._obj)
+        ):
+            try:
+                return self._flox_reduce(
+                    func="median",
+                    dim=dim,
+                    skipna=skipna,
+                    # fill_value=fill_value,
+                    keep_attrs=keep_attrs,
+                    **kwargs,
+                )
+            except ValueError as e:
+                if "median is only supported for `method='blockwise'`" in str(e):
+                    # Fall back to non-flox implementation when chunking doesn't
+                    # allow blockwise processing
+                    pass
+                else:
+                    raise
         return self.reduce(
             duck_array_ops.median,
             dim=dim,
@@ -9192,6 +9257,27 @@ def median(
         Coordinates:
           * time     (time) datetime64[us] 24B 2001-01-31 2001-04-30 2001-07-31
         """
+        if (
+            flox_available
+            and OPTIONS["use_flox"]
+            and contains_only_chunked_or_numpy(self._obj)
+        ):
+            try:
+                return self._flox_reduce(
+                    func="median",
+                    dim=dim,
+                    skipna=skipna,
+                    # fill_value=fill_value,
+                    keep_attrs=keep_attrs,
+                    **kwargs,
+                )
+            except ValueError as e:
+                if "median is only supported for `method='blockwise'`" in str(e):
+                    # Fall back to non-flox implementation when chunking doesn't allow
+                    # blockwise processing.
+                    pass
+                else:
+                    raise
         return self.reduce(
             duck_array_ops.median,
             dim=dim,