diff --git a/inventory-backend/app/api/v1/inbound/stock.py b/inventory-backend/app/api/v1/inbound/stock.py
index 657c4e3..c9f5a53 100644
--- a/inventory-backend/app/api/v1/inbound/stock.py
+++ b/inventory-backend/app/api/v1/inbound/stock.py
@@ -718,7 +718,7 @@ def export_stocktake():
         ws4 = wb.create_sheet("外借在用资产明细")
         borrow_headers = ["借出单号", "借用人", "物料名称", "SKU", "规格型号", "借出总数", "已还数量", "待还数量", "借出时间", "预计归还时间"]
         set_header_row(ws4, borrow_headers)
-        
+
         # 查询未归还的借出记录
         unreturned_borrows = TransBorrow.query.filter(TransBorrow.is_returned == False).all()
         for row_idx, borrow in enumerate(unreturned_borrows, 2):
@@ -727,16 +727,16 @@ def export_stocktake():
             returned_qty = float(borrow.returned_quantity or 0)
             pending_qty = total_qty - returned_qty
 
-            ws3.cell(row=row_idx, column=1, value=borrow.borrow_no or '').border = thin_border
-            ws3.cell(row=row_idx, column=2, value=borrow.borrower_name or '').border = thin_border
-            ws3.cell(row=row_idx, column=3, value=mat_info['name']).border = thin_border
-            ws3.cell(row=row_idx, column=4, value=mat_info['sku']).border = thin_border
-            ws3.cell(row=row_idx, column=5, value=mat_info['spec']).border = thin_border
-            ws3.cell(row=row_idx, column=6, value=total_qty).border = thin_border
-            ws3.cell(row=row_idx, column=7, value=returned_qty).border = thin_border
-            ws3.cell(row=row_idx, column=8, value=pending_qty).border = thin_border
-            ws3.cell(row=row_idx, column=9, value=to_beijing_time(borrow.borrow_time)).border = thin_border
-            ws3.cell(row=row_idx, column=10, value='无限期' if not borrow.expected_return_time else to_beijing_time(borrow.expected_return_time)).border = thin_border
+            ws4.cell(row=row_idx, column=1, value=borrow.borrow_no or '').border = thin_border
+            ws4.cell(row=row_idx, column=2, value=borrow.borrower_name or '').border = thin_border
+            ws4.cell(row=row_idx, column=3, value=mat_info['name']).border = thin_border
+            ws4.cell(row=row_idx, column=4, value=mat_info['sku']).border = thin_border
+            ws4.cell(row=row_idx, column=5, value=mat_info['spec']).border = thin_border
+            ws4.cell(row=row_idx, column=6, value=total_qty).border = thin_border
+            ws4.cell(row=row_idx, column=7, value=returned_qty).border = thin_border
+            ws4.cell(row=row_idx, column=8, value=pending_qty).border = thin_border
+            ws4.cell(row=row_idx, column=9, value=to_beijing_time(borrow.borrow_time)).border = thin_border
+            ws4.cell(row=row_idx, column=10, value='无限期' if not borrow.expected_return_time else to_beijing_time(borrow.expected_return_time)).border = thin_border
 
         # ===== Sheet 5: 未盘点明细(疑似漏盘) =====
         # 逻辑：获取已盘点的集合，遍历库存表，找出未盘点且有库存的物资