diff --git a/tests/queries/0_stateless/02174_cte_scalar_cache_mv.reference b/tests/queries/0_stateless/02174_cte_scalar_cache_mv.reference
index 246706164df..055c88160ad 100644
--- a/tests/queries/0_stateless/02174_cte_scalar_cache_mv.reference
+++ b/tests/queries/0_stateless/02174_cte_scalar_cache_mv.reference
@@ -18,7 +18,7 @@
 89	89	89	89	5
 94	94	94	94	5
 99	99	99	99	5
-02177_MV	7	80	22
+02177_MV	3	80	26
 10
 40
 70
diff --git a/tests/queries/0_stateless/02174_cte_scalar_cache_mv.sql b/tests/queries/0_stateless/02174_cte_scalar_cache_mv.sql
index 4d4447c7f31..742d72fe2b2 100644
--- a/tests/queries/0_stateless/02174_cte_scalar_cache_mv.sql
+++ b/tests/queries/0_stateless/02174_cte_scalar_cache_mv.sql
@@ -39,13 +39,13 @@ SYSTEM FLUSH LOGS;
 -- The main query should have a cache miss and 3 global hits
 -- The MV is executed 20 times (100 / 5) and each run does 1 miss and 4 hits to the LOCAL cache
 -- In addition to this, to prepare the MV, there is an extra preparation to get the list of columns via
--- InterpreterSelectQuery, which adds 1 miss and 4 global hits (since it uses the global cache)
+-- InterpreterSelectQuery, which adds 5 miss (since we don't use cache for preparation)
 -- So in total we have:
 -- Main query:  1  miss, 3 global
--- Preparation: 1  miss, 4 global
+-- Preparation: 5  miss
 -- Blocks (20): 20 miss, 0 global, 80 local hits
 
--- TOTAL:       22 miss, 7 global, 80 local
+-- TOTAL:       26 miss, 3 global, 80 local
 SELECT
     '02177_MV',
     ProfileEvents['ScalarSubqueriesGlobalCacheHit'] as scalar_cache_global_hit,