Silver 999 price performance
▼ Down ₹0.51 (-0.2%) over 30 days
Surendranagar, Gujarat, India
Silver Price
999 per gram
₹264.93
925 per gram
₹245.06
900 per gram
₹238.44
Last rate update: Mon, May 4, 2026 12:04 PM
Calculation output
| Line item | Value |
|---|---|
| Rate per gram | ₹264.93 |
| Weight in grams | 10.000 |
| Gold value | ₹2,649.30 |
| Chargeable weight | 10.000 |
| Making charge | ₹0.00 |
| GST amount | ₹79.48 |
| Total | ₹2,728.78 |
Recent rate history
| Date | Avg Price | Status |
|---|---|---|
| May 04, 2026 | ₹264.93 | Verified |
| May 03, 2026 | ₹264.93 | Verified |
| May 02, 2026 | ₹266.74 | Verified |
| May 01, 2026 | ₹265.72 | Verified |
| Apr 30, 2026 | ₹264.48 | Verified |
| Apr 29, 2026 | ₹262.57 | Verified |
| Apr 28, 2026 | ₹265.40 | Verified |
| Apr 27, 2026 | ₹265.91 | Verified |
| Apr 26, 2026 | ₹263.23 | Verified |
| Apr 25, 2026 | ₹262.72 | Verified |
If you’re tracking silver prices in Surendranagar, Gujarat, the latest available rates (fetched at 2026-05-04T07:35:24+00:00) show silver quoted by purity. For 999 fine silver, the price is 264.93; for 925, it’s 245.06; and for 900, it’s 238.44. These figures are presented by purity level, so the same “silver” product can price differently depending on its hallmark. Looking at the recent daily history provided for 2026-04-04 through 2026-05-04, prices moved within a relatively tight band, with several readings around the mid-260s and a recent value of 264.93 on 2026-05-04. Use the purity-specific rate and the timestamp context to compare quotes you see locally, especially when dealers quote different grades.
Market
Market pulse
As of 2026-05-04T07:35:24+00:00, the provided silver rates show 0% change for 999 (264.93), 925 (245.06), and 900 (238.44). In the recent history, values ranged from 262.57 (2026-04-29) up to 267.09 (2026-04-04), indicating day-to-day movement rather than a single-direction spike. The last few entries show 264.93 on 2026-05-04, following 264.93 on 2026-05-03 and 266.74 on 2026-05-02. This snapshot suggests stability at the latest timestamp, but it’s based only on the supplied data points.
Guide
Buyer playbook
When comparing silver quotes in Surendranagar, Gujarat, start with purity. Match the product’s hallmark to the corresponding rate: 999 fine (264.93), 925 (245.06), or 900 (238.44), using the timestamp 2026-05-04T07:35:24+00:00 for the latest figures. Next, compare against the recent daily history you have on hand—e.g., 264.93 on 2026-05-03 and 264.93 on 2026-05-04—to understand short-term consistency. If a quote doesn’t specify purity clearly, treat it as non-comparable to the provided rates. Finally, keep your comparison grounded in the same purity and the same “as of” time context, since the dataset here is explicitly timestamped and purity-specific.
Checklist
Local buying checklist
- Verify current rates.
- Check purity markings.
- Match the quote to the correct purity band (999, 925, or 900).
- Confirm the timestamp context (fetched at 2026-05-04T07:35:24+00:00).
- Compare with recent daily readings (e.g., 2026-05-03 and 2026-05-04 both show 264.93).
- Ensure you’re comparing like-for-like before deciding what’s being priced.
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Frequently asked questions
- What are the latest silver rates for Surendranagar, Gujarat? The latest provided rates (fetched at 2026-05-04T07:35:24+00:00) are 999: 264.93, 925: 245.06, and 900: 238.44.
- Do the provided rates show any change today? No. For 2026-05-04, change_percent is 0 for 999, 925, and 900 in the provided dataset.
- How can I use the recent history in my comparison? Use the daily values shown (2026-04-04 through 2026-05-04) to gauge short-term movement; for example, 264.93 appears on both 2026-05-03 and 2026-05-04.
- Why do silver prices differ between 999, 925, and 900? Because the dataset quotes silver by purity level, and each purity band has its own price.
- What timestamp should I reference when comparing quotes? Use 2026-05-04T07:35:24+00:00, which is the fetched_at time for the latest rates provided.
- What should I do if a local quote doesn’t mention purity? You can’t match it to the provided rates without purity details, since the dataset is explicitly purity-specific.