diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 3d857e4f3e4e7..7af394e744f1a 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -2179,6 +2179,14 @@ def sum(
                     npfunc=np.sum,
                 )
 
+            if isinstance(result, DataFrame):
+                try:
+                    dtypes = self.dtypes
+                    for column in result.columns:
+                        result[column] = result[column].astype(dtypes[column].dtype)
+                except Exception:
+                    pass
+
             return self._reindex_output(result, fill_value=0)
 
     @final
diff --git a/pandas/tests/groupby/test_groupby.py b/pandas/tests/groupby/test_groupby.py
index 7bf63bb3c2cac..5e830fa105185 100644
--- a/pandas/tests/groupby/test_groupby.py
+++ b/pandas/tests/groupby/test_groupby.py
@@ -20,6 +20,7 @@
     Timestamp,
     date_range,
     to_datetime,
+    util,
 )
 import pandas._testing as tm
 from pandas.core.arrays import BooleanArray
@@ -2654,3 +2655,24 @@ def test_pad_backfill_deprecation():
         s.groupby(level=0).backfill()
     with tm.assert_produces_warning(FutureWarning, match="pad"):
         s.groupby(level=0).pad()
+
+
+def test_groupby_agg_general_dtypes():
+    # GH 44132
+    df = util.testing.makeMixedDataFrame()
+    df = df.to_numpy()
+    df = DataFrame(df)
+    df.columns = ["A", "B", "C", "D"]
+    df = df.set_index("B")
+
+    df1, df2 = df.iloc[:2], df.iloc[2:]
+
+    groupby1 = df1.groupby("B").sum()
+    groupby2 = df2.groupby("B").sum()
+
+    df_conc = pd.concat([groupby1, groupby2], axis=0)
+
+    result = df_conc.groupby(level=0).sum()
+    expected = df.groupby(level=0).sum()
+
+    tm.assert_frame_equal(result, expected)