diff --git a/doc/whats_new/v0.22.rst b/doc/whats_new/v0.22.rst
index 7ebe82a39b884..74b20810de6db 100644
--- a/doc/whats_new/v0.22.rst
+++ b/doc/whats_new/v0.22.rst
@@ -54,6 +54,10 @@ Changelog
   value of the ``zero_division`` keyword argument. :pr:`15879`
   by :user:`Bibhash Chandra Mitra <Bibyutatsu>`.
   
+- |Fix| Fixed a bug in :func:`metrics.plot_confusion_matrix` to correctly
+  pass the `values_format` parameter to the :class:`ConfusionMatrixDisplay`
+  plot() call. :pr:`15937` by :user:`Stephen Blystone <blynotes>`.
+
 :mod:`sklearn.semi_supervised`
 ..............................
 
diff --git a/sklearn/metrics/_plot/confusion_matrix.py b/sklearn/metrics/_plot/confusion_matrix.py
index 11a456aa635b1..537d2b9f0d838 100644
--- a/sklearn/metrics/_plot/confusion_matrix.py
+++ b/sklearn/metrics/_plot/confusion_matrix.py
@@ -195,4 +195,5 @@ def plot_confusion_matrix(estimator, X, y_true, labels=None,
     disp = ConfusionMatrixDisplay(confusion_matrix=cm,
                                   display_labels=display_labels)
     return disp.plot(include_values=include_values,
-                     cmap=cmap, ax=ax, xticks_rotation=xticks_rotation)
+                     cmap=cmap, ax=ax, xticks_rotation=xticks_rotation,
+                     values_format=values_format)
diff --git a/sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py b/sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py
index 2d53e6bf24dc0..9f708b151b81b 100644
--- a/sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py
+++ b/sklearn/metrics/_plot/tests/test_plot_confusion_matrix.py
@@ -245,3 +245,22 @@ def test_confusion_matrix_pipeline(pyplot, clf, data, n_classes):
 
     assert_allclose(disp.confusion_matrix, cm)
     assert disp.text_.shape == (n_classes, n_classes)
+
+
+@pytest.mark.parametrize("values_format", ['e', 'n'])
+def test_confusion_matrix_text_format(pyplot, data, y_pred, n_classes,
+                                      fitted_clf, values_format):
+    # Make sure plot text is formatted with 'values_format'.
+    X, y = data
+    cm = confusion_matrix(y, y_pred)
+    disp = plot_confusion_matrix(fitted_clf, X, y,
+                                 include_values=True,
+                                 values_format=values_format)
+
+    assert disp.text_.shape == (n_classes, n_classes)
+
+    expected_text = np.array([format(v, values_format)
+                              for v in cm.ravel()])
+    text_text = np.array([
+        t.get_text() for t in disp.text_.ravel()])
+    assert_array_equal(expected_text, text_text)