28th May 2026, 04:25 PM
Kiansh (Pindi Chana, 1000gm (2x500gm))
Price may vary by location, shipping cost, and availability.
Lowest in last 1 year
88% Off
₹246
₹2,000
Highest: ₹423
Average: ₹360
Lowest: ₹246
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of Kiansh (Pindi Chana, 1000gm (2x500gm)) here. This product's current Price in India is ₹246. The average and highest prices are ₹360 and ₹423 respectively.
| Lowest Ever Price | ₹246 |
|---|---|
| 28th Mar 2026 | |
| Average Price | ₹360 |
| Based on 500 days price tracking | |
| Highest Price | ₹423 |
| 15th Nov 2025 | |
Price History of All Variants of Kiansh Pindi Chana 1000gm 2x500gm
Offer Price: ₹1,162
Kiansh Dry fruits (Kashmiri Walnuts Kernels/Walnut Without Shell, 800g)
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Offer Price: ₹1,450
Kiansh Dry fruits (California Walnuts Kernels/Walnut Without Shell, 1000g)
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Offer Price: ₹1,162
Kiansh Dry fruits (California Walnuts Kernels/Walnut Without Shell, 800g)
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Offer Price: ₹1,450
Kiansh Dry fruits (Kashmiri Walnuts Kernels/Walnut Without Shell, 1000g)
Get Deal
Current Price in India
| Price | ₹246 |
|---|---|
| MRP | ₹2,000 |
| Savings | ₹1,754 |
| Discount | 87.7% |
Recent Price Drops on Kiansh (Pindi Chana, 1000gm (2x500gm))
Price Drop 28th Mar 2026
₹382 → ₹246
35.6% drop
Price Drop 2nd Jan 2026
₹418 → ₹382
8.61% drop
Product Information
Details
| Product Name | Kiansh (Pindi Chana, 1000gm (2x500gm)) |
|---|---|
| Store Product Code | B0DSPYJR7N |
| Store Name | amazon.in |
| Rating | 10 / 10 |
| Category | Mixed Nuts |
| Product Manufacturer | Ancy E-Retalil PVT.LTD |
| Dimensions | 7 x 5 x 2 cm; 1 kg |
| Country of Origin | India |
Features
- 100% Vegetarian
Images
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Rating and Reviews
10 Based on 12 reviews
Kiansh Pindi Chana 1000gm 2x500gm has 10 rating out of 10. This average rating is consist of 12 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.