31st May 2026, 04:55 AM
Kiansh Dry fruits (Dried Khurmani /Apricot, 1000g)
Price may vary by location, shipping cost, and availability.
Lowest in last 6 months
72% Off
₹564
₹2,000
Highest: ₹650
Average: ₹588
Lowest: ₹564
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of Kiansh Dry fruits (Dried Khurmani /Apricot, 1000g) here. This product's current Price in India is ₹564. The average and highest prices are ₹588 and ₹650 respectively.
| Lowest Ever Price | ₹564 |
|---|---|
| 26th Dec 2025 | |
| Average Price | ₹588 |
| Based on 194 days price tracking | |
| Highest Price | ₹650 |
| 20th Nov 2025 | |
Price History of All Variants of Kiansh Dry fruits Dried Khurmani Apricot 1000g
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 | ₹564 |
|---|---|
| MRP | ₹2,000 |
| Savings | ₹1,436 |
| Discount | 71.8% |
Recent Price Drops on Kiansh Dry fruits (Dried Khurmani /Apricot, 1000g)
Price Drop 26th Dec 2025
₹650 → ₹564
13.23% drop
Product Information
Details
| Product Name | Kiansh Dry fruits (Dried Khurmani /Apricot, 1000g) |
|---|---|
| Store Product Code | B0DSPVSSDY |
| Store Name | amazon.in |
| Rating | 10 / 10 |
| Category | Mixed Nuts |
| Product Manufacturer | Ancy E-Retalil PVT.LTD |
| Country of Origin | India |
Features
- 100% Vegetarian
Images
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Rating and Reviews
10 Based on 12 reviews
Kiansh Dry fruits Dried Khurmani Apricot 1000g 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.