diff --git a/xarray/computation/apply_ufunc.py b/xarray/computation/apply_ufunc.py
index 50c3ed4bbd8..41f4adb5fd5 100644
--- a/xarray/computation/apply_ufunc.py
+++ b/xarray/computation/apply_ufunc.py
@@ -30,10 +30,7 @@
 from xarray.core.formatting import limit_lines
 from xarray.core.indexes import Index, filter_indexes_from_coords
 from xarray.core.options import _get_keep_attrs
-from xarray.core.utils import (
-    is_dict_like,
-    result_name,
-)
+from xarray.core.utils import is_dict_like, result_name
 from xarray.core.variable import Variable
 from xarray.namedarray.parallelcompat import get_chunked_array_type
 from xarray.namedarray.pycompat import is_chunked_array
@@ -1212,6 +1209,8 @@ def apply_ufunc(
             dask_gufunc_kwargs.setdefault("output_sizes", output_sizes)
 
     if kwargs:
+        if "where" in kwargs and isinstance(kwargs["where"], DataArray):
+            kwargs["where"] = kwargs["where"].data  # type:ignore[index]
         func = functools.partial(func, **kwargs)
 
     if keep_attrs is None:
diff --git a/xarray/tests/test_computation.py b/xarray/tests/test_computation.py
index dc7016238df..cb12f3df534 100644
--- a/xarray/tests/test_computation.py
+++ b/xarray/tests/test_computation.py
@@ -2627,3 +2627,14 @@ def test_complex_number_reduce(compute_backend):
     # Check that xarray doesn't call into numbagg, which doesn't compile for complex
     # numbers at the moment (but will when numba supports dynamic compilation)
     da.min()
+
+
+def test_fix() -> None:
+    val = 3.0
+    val_fixed = np.fix(val)
+
+    da = xr.DataArray([val])
+    expected = xr.DataArray([val_fixed])
+
+    actual = np.fix(da)
+    assert_identical(expected, actual)