diff --git a/doc/source/whatsnew/v0.18.2.txt b/doc/source/whatsnew/v0.18.2.txt
index 105194e504f45..c4670b8c03e83 100644
--- a/doc/source/whatsnew/v0.18.2.txt
+++ b/doc/source/whatsnew/v0.18.2.txt
@@ -383,3 +383,4 @@ Bug Fixes
 
 
 - Bug in ``Categorical.remove_unused_categories()`` changes ``.codes`` dtype to platform int (:issue:`13261`)
+- Bug in ``pd.pivot_table()`` where ``margins_name`` is ignored when ``aggfunc`` is a list (:issue:`13354`)
diff --git a/pandas/tools/pivot.py b/pandas/tools/pivot.py
index a4e6cc404a457..e1405bc9e6add 100644
--- a/pandas/tools/pivot.py
+++ b/pandas/tools/pivot.py
@@ -86,7 +86,7 @@ def pivot_table(data, values=None, index=None, columns=None, aggfunc='mean',
             table = pivot_table(data, values=values, index=index,
                                 columns=columns,
                                 fill_value=fill_value, aggfunc=func,
-                                margins=margins)
+                                margins=margins, margins_name=margins_name)
             pieces.append(table)
             keys.append(func.__name__)
         return concat(pieces, keys=keys, axis=1)
diff --git a/pandas/tools/tests/test_pivot.py b/pandas/tools/tests/test_pivot.py
index 82feaae13f771..7ec4018d301af 100644
--- a/pandas/tools/tests/test_pivot.py
+++ b/pandas/tools/tests/test_pivot.py
@@ -779,6 +779,28 @@ def test_pivot_table_with_iterator_values(self):
         )
         tm.assert_frame_equal(pivot_values_gen, pivot_values_list)
 
+    def test_pivot_table_margins_name_with_aggfunc_list(self):
+        # GH 13354
+        margins_name = 'Weekly'
+        costs = pd.DataFrame(
+            {'item': ['bacon', 'cheese', 'bacon', 'cheese'],
+             'cost': [2.5, 4.5, 3.2, 3.3],
+             'day': ['M', 'M', 'T', 'T']}
+        )
+        table = costs.pivot_table(
+            index="item", columns="day", margins=True,
+            margins_name=margins_name, aggfunc=[np.mean, max]
+        )
+        ix = pd.Index(
+            ['bacon', 'cheese', margins_name], dtype='object', name='item'
+        )
+        tups = [('mean', 'cost', 'M'), ('mean', 'cost', 'T'),
+                ('mean', 'cost', margins_name), ('max', 'cost', 'M'),
+                ('max', 'cost', 'T'), ('max', 'cost', margins_name)]
+        cols = pd.MultiIndex.from_tuples(tups, names=[None, None, 'day'])
+        expected = pd.DataFrame(table.values, index=ix, columns=cols)
+        tm.assert_frame_equal(table, expected)
+
 
 class TestCrosstab(tm.TestCase):