diff --git a/endpoints/api/logs.py b/endpoints/api/logs.py
index 92bbcee93..4610dfb91 100644
--- a/endpoints/api/logs.py
+++ b/endpoints/api/logs.py
@@ -3,6 +3,7 @@
 import json
 
 from datetime import datetime, timedelta
+from dateutil.relativedelta import relativedelta
 
 from endpoints.api import (resource, nickname, ApiResource, query_param, parse_args,
                            RepositoryParamResource, require_repo_admin, related_user_resource,
@@ -39,15 +40,14 @@ def aggregated_log_view(log, kinds, start_time):
   # Because we aggregate based on the day of the month in SQL, we only have that information.
   # Therefore, create a synthetic date based on the day and the month of the start time.
   # Logs are allowed for a maximum period of one week, so this calculation should always work.
-  day = int(log.day)
-  month = start_time.month
-  if day < start_time.day:
-    month = month + 1
+  synthetic_date = datetime(start_time.year, start_time.month, int(log.day))
+  if synthetic_date.day < start_time.day:
+    synthetic_date = synthetic_date + relativedelta(months=1)
 
   view  = {
     'kind': kinds[log.kind_id],
     'count': log.count,
-    'datetime': format_date(datetime(start_time.year, month, day))
+    'datetime': format_date(synthetic_date),
   }
 
   return view