diff --git a/server/backend/handlers/wb_handler.py b/server/backend/handlers/wb_handler.py
index 76a8307..918f3cd 100644
--- a/server/backend/handlers/wb_handler.py
+++ b/server/backend/handlers/wb_handler.py
@@ -1,13 +1,14 @@
 from pydantic import ValidationError
 from server.backend.schemas.pydantic import ExcelInfo, settings,Translit
 from server.backend.api.nomenclature import processing
+import pandas as pd
 import datetime
-#Доставать дату из колонки
-def last_day_of_month(format: str):
-    today = datetime.datetime.now()
-    first_day_current_month = today.replace(day=1)
-    last_day_prev_month = first_day_current_month - datetime.timedelta(days=1)
-    return last_day_prev_month.strftime(format)
+def report_date(df, date_format: str):
+    dates = pd.to_datetime(df["Дата продажи"], format="%Y-%m-%d", errors="coerce")
+    if dates.isna().all():
+        raise ValueError("В колонке нет валидных дат")
+    max_date = dates.max()
+    return max_date.strftime(date_format)
 def process_sheet(df, document_type:str):
     #Выборка
     df = df[['Артикул поставщика', 'Тип документа', 'Кол-во', 'Вайлдберриз реализовал Товар (Пр)']].copy().dropna() #copy and drop all NA values
@@ -38,7 +39,7 @@ def process_sheet(df, document_type:str):
 def evaluating(dfs):
     validated_rows_1 = process_sheet(dfs["Sheet1"], document_type='Продажа')
     validated_rows_2 = process_sheet(dfs["Sheet1"], document_type='Возврат')
-    date = last_day_of_month(settings.TIMEFORMAT)
+    date = report_date(dfs["Sheet1"], settings.TIMEFORMAT)
     # sum_1 = sum(row.price for row in validated_rows_1)
     # sum_2 = sum(row.price for row in validated_rows_2)