6th Nov 2024, 09:32 AM
Puma Women's Bermuda Shorts (52317801 Black
Price may vary by location, shipping cost, and availability.
₹969
Apply Coupon ₹30
61% Off
₹999
₹2,499
Highest: ₹1,369
Average: ₹1,040
Lowest: ₹869
Lowest Offer: ₹839
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of Puma Women's Bermuda Shorts (52317801 Black here. This product's current Price in India is ₹999 and the lowest final price is ₹839. The average and highest prices are ₹1,040 and ₹1,369 respectively. The current offer price of the product is ₹969, which is ₹71 less than the average price.
| Lowest Ever Offer Price | ₹839 |
|---|---|
| 29th Sep 2024 | |
| Lowest Ever Price | ₹869 |
| 26th Sep 2024 | |
| Average Price | ₹1,040 |
| Based on 794 days price tracking | |
| Highest Price | ₹1,369 |
| 23rd Jul 2024 | |
Current Price in India
| Price after Coupon or Discount | ₹969 |
|---|---|
| Price | ₹999 |
| MRP | ₹2,499 |
| Savings | ₹1,530 |
| Discount | 61.22% |
Recent Price Drops on Puma Women's Bermuda Shorts (52317801 Black
Price Drop 26th Sep 2024
₹1,249 → ₹869
30.42% drop
Price Drop 7th Aug 2024
₹1,249 → ₹979
21.62% drop
Price Drop 25th Jul 2024
₹1,369 → ₹1,249
8.77% drop
Product Information
Details
| Product Name | Puma Women's Bermuda Shorts (52317801 Black |
|---|---|
| Store Product Code | B0BRYTLH5F |
| Store Name | amazon.in |
| Brand | PUMA |
| Rating | 10 / 10 |
| Category | Shorts |
| Product Manufacturer | Grand Twins International (Cambodia) Plc Phum Trapang Por, Sangkat Chom Khan Porsenchey 12405 Phnom Penh, Puma |
| Model Number | 52317801 |
| Dimensions | 22 x 34 x 3 cm; 400 g |
Features
- Style Name:-Fitted Shorts
- Model Name:-RUN FAV VELOCITY 3' SHORT W
- Brand Color:-Black
- Material:-Polyester
- Activity:-Running
Images
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Rating and Reviews
10 Based on 29 reviews
Puma Womens Bermuda Shorts 52317801 Black has 10 rating out of 10. This average rating is consist of 29 individual ratings. You can rate this product at product review page.
* Predictions is created on based of past prices and trends, it does not guarantee that it will happen. These are just prediction for theoretical information only.