diff --git a/python/cudf/cudf/core/column/column.py b/python/cudf/cudf/core/column/column.py
index f13d8cf12f7..6103bbfc971 100644
--- a/python/cudf/cudf/core/column/column.py
+++ b/python/cudf/cudf/core/column/column.py
@@ -2009,7 +2009,7 @@ def as_column(
             length = 1
         elif length < 0:
             raise ValueError(f"{length=} must be >=0.")
-        if isinstance(arbitrary, pd.Interval):
+        if isinstance(arbitrary, pd.Interval) or _is_categorical_dtype(dtype):
             # No cudf.Scalar support yet
             return as_column(
                 pd.Series([arbitrary] * length),
diff --git a/python/cudf/cudf/tests/test_categorical.py b/python/cudf/cudf/tests/test_categorical.py
index ad32ebce01b..cc3e20b5bac 100644
--- a/python/cudf/cudf/tests/test_categorical.py
+++ b/python/cudf/cudf/tests/test_categorical.py
@@ -846,3 +846,11 @@ def test_empty_series_category_cast(ordered):
 
     assert_eq(expected, actual)
     assert_eq(expected.dtype.ordered, actual.dtype.ordered)
+
+
+@pytest.mark.parametrize("scalar", [1, "a", None, 10.2])
+def test_cat_from_scalar(scalar):
+    ps = pd.Series(scalar, dtype="category")
+    gs = cudf.Series(scalar, dtype="category")
+
+    assert_eq(ps, gs)