diff --git a/superset/viz.py b/superset/viz.py
index 4aa19aed693e2..18b030971863f 100644
--- a/superset/viz.py
+++ b/superset/viz.py
@@ -1762,8 +1762,12 @@ def get_data(self, df: pd.DataFrame) -> VizData:
         df = df.copy()
         df[filled_cols] = df[filled_cols].fillna(value=NULL_STRING)
 
-        row = df.groupby(self.groupby).sum()[metrics[0]].copy()
-        row.sort_values(ascending=False, inplace=True)
+        sortby = utils.get_metric_name(
+            self.form_data.get("timeseries_limit_metric") or metrics[0]
+        )
+        row = df.groupby(self.groupby).sum()[sortby].copy()
+        is_asc = not self.form_data.get("order_desc")
+        row.sort_values(ascending=is_asc, inplace=True)
         pt = df.pivot_table(index=self.groupby, columns=columns, values=metrics)
         if fd.get("contribution"):
             pt = pt.T
diff --git a/tests/core_tests.py b/tests/core_tests.py
index 9ad5806e34acb..82dca0d2ab75d 100644
--- a/tests/core_tests.py
+++ b/tests/core_tests.py
@@ -976,6 +976,7 @@ def test_explore_json_dist_bar_order(self):
                     "optionName": "metric_80g1qb9b6o7_ci5vquydcbe",
                 },
             ],
+            "order_desc": True,
             "adhoc_filters": [],
             "groupby": ["name"],
             "columns": [],
@@ -999,7 +1000,8 @@ def test_explore_json_dist_bar_order(self):
             SELECT count(name) AS count_name, count(ds) AS count_ds
             FROM birth_names
             WHERE ds >= '1921-01-22 00:00:00.000000' AND ds < '2021-01-22 00:00:00.000000'
-            GROUP BY name ORDER BY count_name DESC, count_ds DESC
+            GROUP BY name
+            ORDER BY count_name DESC
             LIMIT 10;
             """,
             client_id="client_id_1",
diff --git a/tests/viz_tests.py b/tests/viz_tests.py
index 1e001c98e99be..fd2572dbc5a0b 100644
--- a/tests/viz_tests.py
+++ b/tests/viz_tests.py
@@ -462,6 +462,7 @@ def test_groupby_nulls(self):
             "adhoc_filters": [],
             "groupby": ["toppings"],
             "columns": [],
+            "order_desc": True,
         }
         datasource = self.get_datasource_mock()
         df = pd.DataFrame(
@@ -487,6 +488,7 @@ def test_groupby_nans(self):
             "adhoc_filters": [],
             "groupby": ["beds"],
             "columns": [],
+            "order_desc": True,
         }
         datasource = self.get_datasource_mock()
         df = pd.DataFrame({"beds": [0, 1, nan, 2], "count": [30, 42, 3, 29]})
@@ -508,6 +510,7 @@ def test_column_nulls(self):
             "adhoc_filters": [],
             "groupby": ["toppings"],
             "columns": ["role"],
+            "order_desc": True,
         }
         datasource = self.get_datasource_mock()
         df = pd.DataFrame(
@@ -537,6 +540,7 @@ def test_column_metrics_in_order(self):
             "adhoc_filters": [],
             "groupby": ["toppings"],
             "columns": [],
+            "order_desc": True,
         }
         datasource = self.get_datasource_mock()
         df = pd.DataFrame(
@@ -574,6 +578,7 @@ def test_column_metrics_in_order_with_breakdowns(self):
             "adhoc_filters": [],
             "groupby": ["toppings"],
             "columns": ["role"],
+            "order_desc": True,
         }
         datasource = self.get_datasource_mock()
         df = pd.DataFrame(