1st Jun 2026, 03:40 AM
Kiansh (Rajma Chitra, 1000g (2x500g))
Price may vary by location, shipping cost, and availability.
Lowest in last 1 year
84% Off
₹325
₹2,000
Highest: ₹396
Average: ₹379
Lowest: ₹325
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of Kiansh (Rajma Chitra, 1000g (2x500g)) here. This product's current Price in India is ₹325. The average and highest prices are ₹379 and ₹396 respectively.
| Lowest Ever Price | ₹325 |
|---|---|
| 31st Mar 2026 | |
| Average Price | ₹379 |
| Based on 501 days price tracking | |
| Highest Price | ₹396 |
| 13th Nov 2025 | |
Price History of All Variants of Kiansh Rajma Chitra 1000g 2x500g
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 | ₹325 |
|---|---|
| MRP | ₹2,000 |
| Savings | ₹1,675 |
| Discount | 83.75% |
Recent Price Drops on Kiansh (Rajma Chitra, 1000g (2x500g))
Price Drop 31st Mar 2026
₹353 → ₹325
7.93% drop
Price Drop 22nd Mar 2026
₹389 → ₹353
9.25% drop
Product Information
Details
| Product Name | Kiansh (Rajma Chitra, 1000g (2x500g)) |
|---|---|
| Store Product Code | B0DSPX5Z91 |
| 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 Rajma Chitra 1000g 2x500g 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.