diff --git a/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py b/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
index c02f40a88dc..9e139aae75f 100644
--- a/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
+++ b/python/cudf_polars/cudf_polars/dsl/expressions/datetime.py
@@ -152,6 +152,7 @@ def from_polars(cls, obj: polars._expr_nodes.TemporalFunction) -> Self:
         Name.CastTimeUnit,
         Name.Truncate,
         Name.DaysInMonth,
+        Name.Quarter,
         *_CENTURY_MILLENNIUM_DIVISOR.keys(),
         *_TOTAL_COMPONENT_NANOSECONDS.keys(),
     }
@@ -239,6 +240,12 @@ def do_evaluate(
                 plc.datetime.days_in_month(column.obj, stream=df.stream),
                 dtype=DataType(pl.Int16()),
             ).astype(self.dtype, stream=df.stream)
+        elif self.name is TemporalFunction.Name.Quarter:
+            (column,) = columns
+            return Column(
+                plc.datetime.extract_quarter(column.obj, stream=df.stream),
+                dtype=DataType(pl.Int16()),
+            ).astype(self.dtype, stream=df.stream)
         elif self.name in self._CENTURY_MILLENNIUM_DIVISOR:
             (column,) = columns
             int32 = plc.DataType(plc.TypeId.INT32)
diff --git a/python/cudf_polars/tests/expressions/test_datetime_basic.py b/python/cudf_polars/tests/expressions/test_datetime_basic.py
index b34d4693b55..daddc07c070 100644
--- a/python/cudf_polars/tests/expressions/test_datetime_basic.py
+++ b/python/cudf_polars/tests/expressions/test_datetime_basic.py
@@ -529,6 +529,27 @@ def test_datetime_truncate_unsupported(engine: pl.GPUEngine, every: str):
     assert_ir_translation_raises(q, engine, NotImplementedError)
 
 
+@pytest.mark.parametrize(
+    "dtype", [pl.Date(), pl.Datetime("ms"), pl.Datetime("us"), pl.Datetime("ns")]
+)
+def test_datetime_quarter(engine: pl.GPUEngine, dtype):
+    data = pl.Series(
+        [
+            datetime.date(2001, 1, 1),
+            datetime.date(2001, 3, 31),
+            datetime.date(2001, 4, 1),
+            datetime.date(2001, 6, 30),
+            datetime.date(2001, 9, 15),
+            datetime.date(2001, 12, 27),
+            None,
+        ],
+        dtype=pl.Date(),
+    ).cast(dtype)
+    ldf = pl.LazyFrame({"dates": data})
+    q = ldf.select(pl.col("dates").dt.quarter())
+    assert_gpu_result_equal(q, engine=engine)
+
+
 @pytest.mark.parametrize(
     "dtype", [pl.Date(), pl.Datetime("ms"), pl.Datetime("us"), pl.Datetime("ns")]
 )