diff --git a/doc/source/whatsnew/v2.0.0.rst b/doc/source/whatsnew/v2.0.0.rst
index cdc9cbe0d7261..a8f545c7be05f 100644
--- a/doc/source/whatsnew/v2.0.0.rst
+++ b/doc/source/whatsnew/v2.0.0.rst
@@ -197,6 +197,9 @@ Copy-on-Write improvements
   behavior when the NumPy array is modified after creation of the
   :class:`DataFrame`.
 
+- The :meth:`DataFrame.from_records` will now respect Copy-on-Write when called
+  with a :class:`DataFrame`.
+
 - Trying to set values using chained assignment (for example, ``df["a"][1:3] = 0``)
   will now always raise an warning when Copy-on-Write is enabled. In this mode,
   chained assignment can never work because we are always setting into a temporary
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index 881993a6a4f5d..e7b48b83ab22e 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -2209,7 +2209,7 @@ def from_records(
                 data = data.set_index(index)
             if exclude is not None:
                 data = data.drop(columns=exclude)
-            return data
+            return data.copy(deep=False)
 
         result_index = None
 
diff --git a/pandas/tests/copy_view/test_constructors.py b/pandas/tests/copy_view/test_constructors.py
index 8ceb3cd7d2d2b..cc10ca7fa483f 100644
--- a/pandas/tests/copy_view/test_constructors.py
+++ b/pandas/tests/copy_view/test_constructors.py
@@ -231,3 +231,18 @@ def test_frame_from_numpy_array(using_copy_on_write, copy, using_array_manager):
         assert not np.shares_memory(get_array(df, 0), arr)
     else:
         assert np.shares_memory(get_array(df, 0), arr)
+
+
+def test_dataframe_from_records_with_dataframe(using_copy_on_write):
+    df = DataFrame({"a": [1, 2, 3]})
+    df_orig = df.copy()
+    with tm.assert_produces_warning(FutureWarning):
+        df2 = DataFrame.from_records(df)
+    if using_copy_on_write:
+        assert not df._mgr._has_no_reference(0)
+    assert np.shares_memory(get_array(df, "a"), get_array(df2, "a"))
+    df2.iloc[0, 0] = 100
+    if using_copy_on_write:
+        tm.assert_frame_equal(df, df_orig)
+    else:
+        tm.assert_frame_equal(df, df2)