Fashion & Couture Pricing History Data for Market Research & Investment
Realized auction prices for fashion and couture: clothing and accessories from leading houses and designers (handbags and shoes have their own datasets). 265,766 records across 335 auction houses, 1996 to 2026, every price normalized to USD. Real transactions, not asking prices.
154,198 realized sold lots · 335 auction houses · median $145
Image: Sotheby'sOne Fashion & Couture 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 Fashion & Couture pricing data: 265,766 records, 335 houses, 154,198 realized sales.
See what the world's fashion pieces actually sold for.
A live slice of the Fashion & Couture dataset: top realized results. Every figure is a real transaction, not an estimate.
What the Fashion & Couture market is made of.
Top designers and leading auction houses by lot volume, drawn live from the dataset.
Top designers by lots
Leading houses by lots
In every record
- designer / house
- category
- era
- size
- realized price (USD)
- sale date
- auction house
Enterprise data access for financial firms
Connect directly to the Fashion & Couture dataset via API, BigQuery or bulk download. Used by hedge funds, wealth managers, insurers and academic institutions.
- Full transaction-level data, 1996 to 2026
- Custom date ranges, filters and fields
- USD-normalized realized prices
- Dedicated onboarding support
Questions
Frequently asked questions
How many Fashion & Couture records are in the dataset?
What time period does the Fashion & Couture data cover?
Are the prices realized or asking prices?
How do I access the Fashion & Couture data?
Start with the Fashion & Couture data today.
Create a free account to explore fashion pieces 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