diff --git a/pandas/tests/computation/test_eval.py b/pandas/tests/computation/test_eval.py
index 9fed65faee896..030cab58df67a 100644
--- a/pandas/tests/computation/test_eval.py
+++ b/pandas/tests/computation/test_eval.py
@@ -8,6 +8,7 @@
 import pytest
 
 from pandas.compat import PY312
+from pandas.compat._optional import import_optional_dependency
 from pandas.errors import (
     NumExprClobberingError,
     PerformanceWarning,
@@ -53,6 +54,9 @@
     _unary_math_ops,
 )
 from pandas.core.computation.scope import DEFAULT_GLOBALS
+from pandas.util.version import Version
+
+numexpr = import_optional_dependency("numexpr", errors="ignore")
 
 
 @pytest.fixture(
@@ -320,7 +324,9 @@ def test_modulus(self, lhs, rhs, engine, parser):
     def test_floor_division(self, lhs, rhs, engine, parser):
         ex = "lhs // rhs"
 
-        if engine == "python":
+        if engine == "python" or (
+            engine == "numexpr" and Version(numexpr.__version__) >= Version("2.13.0")
+        ):
             res = pd.eval(ex, engine=engine, parser=parser)
             expected = lhs // rhs
             tm.assert_equal(res, expected)
@@ -391,7 +397,7 @@ def test_frame_invert(self, engine, parser):
 
         # int raises on numexpr
         lhs = DataFrame(np.random.default_rng(2).integers(5, size=(5, 2)))
-        if engine == "numexpr":
+        if engine == "numexpr" and Version(numexpr.__version__) < Version("2.13.0"):
             msg = "couldn't find matching opcode for 'invert"
             with pytest.raises(NotImplementedError, match=msg):
                 pd.eval(expr, engine=engine, parser=parser)
@@ -436,7 +442,7 @@ def test_series_invert(self, engine, parser):
 
         # int raises on numexpr
         lhs = Series(np.random.default_rng(2).integers(5, size=5))
-        if engine == "numexpr":
+        if engine == "numexpr" and Version(numexpr.__version__) < Version("2.13.0"):
             msg = "couldn't find matching opcode for 'invert"
             with pytest.raises(NotImplementedError, match=msg):
                 pd.eval(expr, engine=engine, parser=parser)