diff --git a/src/storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectivePreprocessorResult.h b/src/storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectivePreprocessorResult.h
index 460ba3ec2..523098148 100644
--- a/src/storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectivePreprocessorResult.h
+++ b/src/storm/modelchecker/multiobjective/preprocessing/SparseMultiObjectivePreprocessorResult.h
@@ -48,12 +48,24 @@ namespace storm {
                         return true;
                     }
                     
+                    bool containsLongRunAverageRewardFormulas() const {
+                        for (auto const& obj : objectives) {
+                            if (obj.formula->isRewardOperatorFormula() && obj.formula->getSubformula().isLongRunAverageRewardFormula()) {
+                                return true;
+                            }
+                        }
+                        return false;
+                    }
+                    
                     bool containsOnlyTrivialObjectives() const {
-                        // Trivial objectives are either total reward formulas or single-dimensional step or time bounded cumulative reward formulas
+                        // Trivial objectives are either total reward formulas, LRA reward formulas or single-dimensional step or time bounded cumulative reward formulas
                         for (auto const& obj : objectives) {
                             if (obj.formula->isRewardOperatorFormula() && obj.formula->getSubformula().isTotalRewardFormula()) {
                                 continue;
                             }
+                            if (obj.formula->isRewardOperatorFormula() && obj.formula->getSubformula().isLongRunAverageRewardFormula()) {
+                                continue;
+                            }
                             if (obj.formula->isRewardOperatorFormula() && obj.formula->getSubformula().isCumulativeRewardFormula()) {
                                 auto const& subf = obj.formula->getSubformula().asCumulativeRewardFormula();
                                 if (!subf.isMultiDimensional() && (subf.getTimeBoundReference().isTimeBound() || subf.getTimeBoundReference().isStepBound())) {