Jewellery & Gems Pricing History Data for Market Research & Investment
Realized auction prices for fine jewellery and loose gemstones: diamonds, sapphires, rubies, emeralds and signed pieces. 2,029,418 records across 391 auction houses, 1985 to 2026, every price normalized to USD. Real transactions, not asking prices.
1,094,272 realized sold lots · 391 auction houses · median $1,100
Image: Christie'sOne Jewellery & Gems dataset. Six ways to put it to work.
From a thirty-second valuation to a full API feed, every ALT/FNDATA product runs on the same Jewellery & Gems pricing data: 2,029,418 records, 391 houses, 1,094,272 realized sales.
See what the world's jewels and gems actually sold for.
A live slice of the Jewellery & Gems dataset: top realized results. Every figure is a real transaction, not an estimate.
What the Jewellery & Gems market is made of.
Top houses & designers and leading auction houses by lot volume, drawn live from the dataset.
Top houses & designers by lots
Leading houses by lots
In every record
- house / designer
- gem type
- carats
- metal & karat
- certification
- realized price (USD)
- sale date
- auction house
Enterprise data access for financial firms
Connect directly to the Jewellery & Gems dataset via API, BigQuery or bulk download. Used by hedge funds, wealth managers, insurers and academic institutions.
- Full transaction-level data, 1985 to 2026
- Custom date ranges, filters and fields
- USD-normalized realized prices
- Dedicated onboarding support
Questions
Frequently asked questions
How many Jewellery & Gems records are in the dataset?
What time period does the Jewellery & Gems data cover?
Are the prices realized or asking prices?
How do I access the Jewellery & Gems data?
Start with the Jewellery & Gems data today.
Create a free account to explore jewels and gems pricing in the app, or talk to us about API access and licensing for your team.
Source: ALT/FNDATA, 19.24M realized auction results across 37 collectible categories, normalized to USD. Featured lot images courtesy of the auction houses named. Methodology · All datasets · Brands · Market statistics

