6th Aug 2020, 07:26 AM
PUMA Women Track Pants
Price may vary by location, shipping cost, and availability.
Lowest in last 9 months
₹1,999
Highest: ₹3,999
Average: ₹2,469
Lowest: ₹1,999
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of PUMA Women Track Pants here. This product's current Price in India is ₹1,999. The average and highest prices are ₹2,469 and ₹3,999 respectively.
| Lowest Ever Price | ₹1,999 |
|---|---|
| 10th Dec 2019 | |
| Average Price | ₹2,469 |
| Based on 2540 days price tracking | |
| Highest Price | ₹3,999 |
| 12th Oct 2019 | |
Price History of All Variants of PUMA Women Track Pants
Current Price in India
| Price | ₹1,999 |
|---|
Recent Price Drops on PUMA Women Track Pants
Price Drop 6th Aug 2020
₹2,399 → ₹1,999
16.67% drop
Price Drop 12th Jul 2020
₹2,399 → ₹1,999
16.67% drop
Price Drop 10th Jun 2020
₹2,599 → ₹2,399
7.7% drop
Price Drop 11th Feb 2020
₹2,599 → ₹2,199
15.39% drop
Price Drop 1st Feb 2020
₹2,599 → ₹2,199
15.39% drop
Price Drop 18th Jan 2020
₹2,399 → ₹2,199
8.34% drop
Price Drop 14th Dec 2019
₹2,399 → ₹1,999
16.67% drop
Price Drop 10th Dec 2019
₹2,199 → ₹1,999
9.1% drop
Price Drop 8th Dec 2019
₹3,999 → ₹2,199
45.01% drop
Product Information
Details
| Product Name | PUMA Women Track Pants |
|---|---|
| Store Product Code | B07NR62MNT |
| Store Name | amazon.in |
| Brand | PUMA |
| Rating | 9.2 / 10 |
| Category | Trousers |
| Product Manufacturer | Ningbo Shenzhou Knitting Co.Ltdno.18 Yongjiang Road Economic Technical Development Zone Ningbo, PUMA |
| Model Number | 595522 |
| Model Name | 595522 |
| Dimensions | 10 x 2 x 2.7 cm; 100 g |
Features
- Style Name:-Knitted Pants
- Model Name:-Classics Kick Flare Pant
- Brand Color:-Pastel Parchment
- Material:-Polyester
- Activity:-Sport Classics
Images
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Rating and Reviews
9.2 Based on 3 reviews
PUMA Women Track Pants has 9.2 rating out of 10. This average rating is consist of 3 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.