diff --git a/server/src/main/java/org/opensearch/search/profile/query/ConcurrentQueryProfileBreakdown.java b/server/src/main/java/org/opensearch/search/profile/query/ConcurrentQueryProfileBreakdown.java
index 59ef01f9f947a..7be04998dcea0 100644
--- a/server/src/main/java/org/opensearch/search/profile/query/ConcurrentQueryProfileBreakdown.java
+++ b/server/src/main/java/org/opensearch/search/profile/query/ConcurrentQueryProfileBreakdown.java
@@ -83,12 +83,26 @@ public Map<String, Long> toBreakdownMap() {
             // creates a new weight and breakdown map for each rewritten query. This new breakdown map captures the timing information for
             // the new rewritten query. The sliceCollectorsToLeaves is empty because this breakdown for rewritten query gets created later
             // in search leaf path which doesn't have collector. Also, this is not needed since this breakdown is per leaf and there is no
-            // concurrency involved. An empty sliceCollectorsToLeaves could also happen in the case of early termination.
+            // concurrency involved.
             AbstractProfileBreakdown<QueryTimingType> breakdown = contexts.values().iterator().next();
             queryNodeTime = breakdown.toNodeTime() + createWeightTime;
             maxSliceNodeTime = 0L;
             minSliceNodeTime = 0L;
             avgSliceNodeTime = 0L;
+            if (contexts.size() > 1) {
+                // If the leaf counts in contexts map don't match those in sliceCollectorsToLeaves, this means that the current
+                // node is outside the concurrent search path, which occurred before the contextIndexSearcher::searchLeaf.
+                // For example, in the post filter query, we may create a profile node during filtered collector context creation.
+                // In this case, as there is no concurrent implementation, we can simply return the accumulated breakdown result
+                // instead of the statistical result.
+                final Map<String, Long> queryBreakdownMap = new HashMap<>(topLevelBreakdownMapWithWeightTime);
+                for (final AbstractProfileBreakdown<QueryTimingType> context : contexts.values()) {
+                    for (final Map.Entry<String, Long> entry : context.toBreakdownMap().entrySet()) {
+                        queryBreakdownMap.merge(entry.getKey(), entry.getValue(), Long::sum);
+                    }
+                }
+                return queryBreakdownMap;
+            }
             Map<String, Long> queryBreakdownMap = new HashMap<>(breakdown.toBreakdownMap());
             queryBreakdownMap.put(QueryTimingType.CREATE_WEIGHT.toString(), createWeightTime);
             queryBreakdownMap.put(QueryTimingType.CREATE_WEIGHT + TIMING_TYPE_COUNT_SUFFIX, 1L);