diff --git a/ibis/backends/sql/compilers/pyspark.py b/ibis/backends/sql/compilers/pyspark.py
index 5b7588ea2762..7c5eed5c6885 100644
--- a/ibis/backends/sql/compilers/pyspark.py
+++ b/ibis/backends/sql/compilers/pyspark.py
@@ -283,6 +283,13 @@ def visit_GroupConcat(self, op, *, arg, sep, where, order_by):
         collected = self.if_(self.f.size(collected).eq(0), NULL, collected)
         return self.f.array_join(collected, sep)
 
+    def visit_Quantile(self, op, *, arg, quantile, where):
+        if where is not None:
+            arg = self.if_(where, arg, NULL)
+        return self.f.percentile(arg, quantile)
+
+    visit_MultiQuantile = visit_Quantile
+
     def visit_Correlation(self, op, *, left, right, how, where):
         if (left_type := op.left.dtype).is_boolean():
             left = self.cast(left, dt.Int32(nullable=left_type.nullable))
diff --git a/ibis/backends/tests/test_aggregation.py b/ibis/backends/tests/test_aggregation.py
index e99c102d36ac..cb128a8921bd 100644
--- a/ibis/backends/tests/test_aggregation.py
+++ b/ibis/backends/tests/test_aggregation.py
@@ -864,11 +864,6 @@ def test_count_distinct_star(alltypes, df, ibis_cond, pandas_cond):
                     reason="backend implements approximate quantiles",
                     raises=com.OperationNotDefinedError,
                 ),
-                pytest.mark.never(
-                    ["pyspark"],
-                    reason="backend implements approximate quantiles",
-                    raises=AssertionError,
-                ),
                 pytest.mark.never(
                     ["flink"],
                     reason="backend doesn't implement approximate quantiles yet",
@@ -905,11 +900,6 @@ def test_count_distinct_star(alltypes, df, ibis_cond, pandas_cond):
                     reason="backend implements approximate quantiles",
                     raises=com.OperationNotDefinedError,
                 ),
-                pytest.mark.never(
-                    ["pyspark"],
-                    reason="backend implements approximate quantiles",
-                    raises=AssertionError,
-                ),
                 pytest.mark.never(
                     ["dask"],
                     reason="backend implements approximate quantiles",
@@ -1277,6 +1267,11 @@ def test_string_quantile(alltypes, func):
     raises=SnowflakeProgrammingError,
     reason="doesn't support median of dates",
 )
+@pytest.mark.notyet(
+    ["pyspark"],
+    raises=PySparkAnalysisException,
+    reason="doesn't support quantile on dates",
+)
 @pytest.mark.notimpl(["dask"], raises=(AssertionError, NotImplementedError, TypeError))
 @pytest.mark.notyet(["datafusion"], raises=Exception, reason="not supported upstream")
 @pytest.mark.notyet(