diff --git a/pyoptsparse/pySNOPT/pySNOPT.py b/pyoptsparse/pySNOPT/pySNOPT.py
index bac40403..249f4ddd 100644
--- a/pyoptsparse/pySNOPT/pySNOPT.py
+++ b/pyoptsparse/pySNOPT/pySNOPT.py
@@ -15,6 +15,7 @@
 from baseclasses.utils import CaseInsensitiveSet
 import numpy as np
 from numpy import ndarray
+from pkg_resources import parse_version
 
 # Local modules
 from ..pyOpt_error import Error
@@ -520,6 +521,12 @@ def __call__(
             sol_inform["text"] = self.informs[inform]
 
             # Create the optimization solution
+            if parse_version(self.version) > parse_version("7.7.0") and parse_version(self.version) < parse_version(
+                "7.7.7"
+            ):
+                # SNOPT obj value is buggy and returned as 0, its thus overwritten with the solution objective value
+                obj = np.array([obj.value * obj.scale for obj in self.optProb.objectives.values()])
+
             sol = self._createSolution(optTime, sol_inform, obj, xs[:nvar], multipliers=pi)
             restartDict = {
                 "cw": cw,
diff --git a/tests/testing_utils.py b/tests/testing_utils.py
index 84fc2d37..08017b5f 100644
--- a/tests/testing_utils.py
+++ b/tests/testing_utils.py
@@ -118,11 +118,16 @@ def assert_solution_allclose(self, sol, tol, partial_x=False):
         else:
             # assume we have a single solution
             self.sol_index = 0
+
         # now we assert against the closest solution
         # objective
         assert_allclose(sol.fStar, self.fStar[self.sol_index], atol=tol, rtol=tol)
         # make sure fStar and sol.objectives values match
-        assert_allclose(sol.fStar, [obj.value for obj in sol.objectives.values()], rtol=1e-12)
+        # NOTE this is not true in general, but true for well-behaving optimizations
+        # which should be the case for all tests
+        sol_objectives = np.array([obj.value for obj in sol.objectives.values()])
+        assert_allclose(sol.fStar, sol_objectives, rtol=1e-12)
+
         # x
         assert_dict_allclose(sol.xStar, self.xStar[self.sol_index], atol=tol, rtol=tol, partial=partial_x)
         dv = sol.getDVs()