New Research with Claude · Query millions of auction results from your own AI toolsGet Started
Market index · AWS Data Exchange

Burgundy Fine Wine Index (BURI)

Burgundy Fine Wine Index (BURI): a daily market-performance index for the Burgundy fine wine market, spanning Grand Cru and Premier Cru red and white Burgundy, built on ALT/FNDATA's dataset of over 210,000 lots across 180+ auction houses since 1998, with 180,000+ realised prices. Tracks Domaine de la Romanee-Conti, Leroy, Armand Rousseau and Coche-Dury. Daily index values for benchmarking, research and portfolio construction.

Lots
210,000+
Realised prices
180,000+
Auction houses
180+
History
1998–present

What this listing delivers

  • Daily market-performance index for the Burgundy fine wine market, spanning Grand Cru and Premier Cru red and white Burgundy, built on 210,000+ lots across 180+ auction houses since 1998, with 180,000+ realised prices.
  • Tracks Domaine de la Romanee-Conti, Leroy, Armand Rousseau and Coche-Dury, grounded in realised auction and marketplace prices. Delivered in JSON, CSV and SQL formats.
  • Benchmark this segment as an alternative asset, build portfolios, and track market trends with a consistent methodology. Daily-updated index values.

Coverage & methodology

The Burgundy Fine Wine Index delivers daily index values tracking the Burgundy fine wine market, spanning Grand Cru and Premier Cru red and white Burgundy on a consistent methodology, so you can benchmark performance and study trends over time.

Access

This dataset is published on AWS Data Exchange as part of the ALT/FNDATA catalogue. For subscription terms, a data sample, delivery format and enterprise licensing, contact our data team and we will get you set up directly.

Explore the Wine & Spirits dataset

Start with the Rare Books & Manuscripts data today.

Create a free account to explore books & manuscripts 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