diff --git a/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py b/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
index c02f40a88dcb..1707603b7741 100644
--- a/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
+++ b/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
@@ -151,6 +151,7 @@ def from_polars(cls, obj: polars._expr_nodes.TemporalFunction) -> Self:
         Name.TimeStamp,
         Name.CastTimeUnit,
         Name.Truncate,
+        Name.Date,
         Name.DaysInMonth,
         *_CENTURY_MILLENNIUM_DIVISOR.keys(),
         *_TOTAL_COMPONENT_NANOSECONDS.keys(),
@@ -233,6 +234,14 @@ def do_evaluate(
                 ),
                 dtype=self.dtype,
             )
+        elif self.name is TemporalFunction.Name.Date:
+            (column,) = columns
+            # Casting the timestamp to TIMESTAMP_DAYS (the storage of ``pl.Date``)
+            # drops the sub-day component.
+            return Column(
+                plc.unary.cast(column.obj, self.dtype.plc_type, stream=df.stream),
+                dtype=self.dtype,
+            )
         elif self.name is TemporalFunction.Name.DaysInMonth:
             (column,) = columns
             return Column(
diff --git a/python/cudf_polars/tests/expressions/test_datetime_basic.py b/python/cudf_polars/tests/expressions/test_datetime_basic.py
index b34d4693b552..a0a5d3a1a49e 100644
--- a/python/cudf_polars/tests/expressions/test_datetime_basic.py
+++ b/python/cudf_polars/tests/expressions/test_datetime_basic.py
@@ -252,6 +252,25 @@ def test_century_millennium_date_extreme_years(engine: pl.GPUEngine, method, day
     assert_gpu_result_equal(q, engine=engine)
 
 
+@pytest.mark.parametrize(
+    "dtype", [pl.Datetime("ms"), pl.Datetime("us"), pl.Datetime("ns")]
+)
+def test_datetime_date(engine: pl.GPUEngine, dtype):
+    data = pl.Series(
+        [
+            datetime.datetime(1978, 1, 1, 1, 1, 1),
+            datetime.datetime(1969, 12, 31, 23, 59, 59),  # pre-epoch (floors down)
+            datetime.datetime(2024, 10, 13, 5, 30, 14, 500_000),
+            datetime.datetime(2065, 1, 1, 10, 20, 30, 60_000),
+            None,
+        ],
+        dtype=dtype,
+    )
+    ldf = pl.LazyFrame({"datetimes": data})
+    q = ldf.select(pl.col("datetimes").dt.date())
+    assert_gpu_result_equal(q, engine=engine)
+
+
 @pytest.mark.parametrize(
     "dtype", [pl.Date(), pl.Datetime("ms"), pl.Datetime("us"), pl.Datetime("ns")]
 )