diff --git a/pandas/tests/extension/test_floating.py b/pandas/tests/extension/test_floating.py
index ff0ff7399e3e6..0d88822009a90 100644
--- a/pandas/tests/extension/test_floating.py
+++ b/pandas/tests/extension/test_floating.py
@@ -211,5 +211,6 @@ class TestParsing(base.BaseParsingTests):
     pass
 
 
+@pytest.mark.filterwarnings("ignore:overflow encountered in reduce:RuntimeWarning")
 class Test2DCompat(base.Dim2CompatTests):
     pass
diff --git a/pandas/tests/frame/methods/test_combine_first.py b/pandas/tests/frame/methods/test_combine_first.py
index c71b688d390d4..f841b763863d2 100644
--- a/pandas/tests/frame/methods/test_combine_first.py
+++ b/pandas/tests/frame/methods/test_combine_first.py
@@ -3,6 +3,9 @@
 import numpy as np
 import pytest
 
+from pandas.compat import pa_version_under7p0
+from pandas.errors import PerformanceWarning
+
 from pandas.core.dtypes.cast import (
     find_common_type,
     is_dtype_equal,
@@ -387,12 +390,24 @@ def test_combine_first_string_dtype_only_na(self, nullable_string_dtype):
             {"a": ["962", "85"], "b": [pd.NA] * 2}, dtype=nullable_string_dtype
         )
         df2 = DataFrame({"a": ["85"], "b": [pd.NA]}, dtype=nullable_string_dtype)
-        df = df.set_index(["a", "b"], copy=False)
-        df2 = df2.set_index(["a", "b"], copy=False)
+        with tm.maybe_produces_warning(
+            PerformanceWarning,
+            pa_version_under7p0 and nullable_string_dtype == "string[pyarrow]",
+        ):
+            df = df.set_index(["a", "b"], copy=False)
+        with tm.maybe_produces_warning(
+            PerformanceWarning,
+            pa_version_under7p0 and nullable_string_dtype == "string[pyarrow]",
+        ):
+            df2 = df2.set_index(["a", "b"], copy=False)
         result = df.combine_first(df2)
-        expected = DataFrame(
-            {"a": ["962", "85"], "b": [pd.NA] * 2}, dtype=nullable_string_dtype
-        ).set_index(["a", "b"])
+        with tm.maybe_produces_warning(
+            PerformanceWarning,
+            pa_version_under7p0 and nullable_string_dtype == "string[pyarrow]",
+        ):
+            expected = DataFrame(
+                {"a": ["962", "85"], "b": [pd.NA] * 2}, dtype=nullable_string_dtype
+            ).set_index(["a", "b"])
         tm.assert_frame_equal(result, expected)
 
 
diff --git a/pandas/tests/frame/methods/test_quantile.py b/pandas/tests/frame/methods/test_quantile.py
index 14b416011b956..3beb201bcfa05 100644
--- a/pandas/tests/frame/methods/test_quantile.py
+++ b/pandas/tests/frame/methods/test_quantile.py
@@ -751,6 +751,9 @@ def test_quantile_empty_no_rows_ints(self, interp_method):
         exp = Series([np.nan, np.nan], index=["a", "b"], name=0.5)
         tm.assert_series_equal(res, exp)
 
+    @pytest.mark.filterwarnings(
+        "ignore:The behavior of DatetimeArray._from_sequence:FutureWarning"
+    )
     def test_quantile_empty_no_rows_dt64(self, interp_method):
         interpolation, method = interp_method
         # datetimes
diff --git a/pandas/tests/test_expressions.py b/pandas/tests/test_expressions.py
index a0066ace17bc4..e03194227f576 100644
--- a/pandas/tests/test_expressions.py
+++ b/pandas/tests/test_expressions.py
@@ -173,7 +173,7 @@ def testit():
 
             with warnings.catch_warnings():
                 # array has 0s
-                msg = "invalid value encountered in true_divide"
+                msg = "invalid value encountered in divide|true_divide"
                 warnings.filterwarnings("ignore", msg, RuntimeWarning)
                 result = expr.evaluate(op, left, left, use_numexpr=True)
                 expected = expr.evaluate(op, left, left, use_numexpr=False)