DATA SOLUTIONS

Luxury Handbags Pricing History Data for Market Research and Investment Allocation

Track auction results, private sales, and market trends across Hermès, Chanel, Louis Vuitton and luxury brands for building investment strategies.

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20 years of
historical data
95% coverage with auctions & marketplaces
Over 322 luxury and vintage brands
10,000 handbag
models tracked
analytics

Investment Analytics & Backtesting Data

Historical Pricing Data

- Transaction prices (auction & private sales)
- 15+ years of historical data
- Monthly/quarterly aggregations
- Price indices by brand and model

Performance Metrics

- Annual appreciation rates
- Volatility & standard deviation
- Sharpe ratios by brand
- Max drawdown analysis

Market Intelligence

- Supply/demand indicators
- Rarity scores & production numbers
- Condition premium analysis
- Regional price variations

75

Brands

200

Models

45

Vendors

STAFF PICKS

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"The depth of historical pricing data has been essential for our alternative asset allocation models. We can finally backtest and implement validated handbag strategies with confidence."

— Portfolio Manager, $2B Multi-Strategy Hedge Fund
DATA COVERAGE

Powerful Visual Insights

Explore the global handbag market with real-time insights into sales prices by leading brands.

Brands include:

Alexander McQueen, Bottega Veneta, Bulgari, Burberry, Céline, Chanel, Chloé, Dior, Dolce & Gabanna, Fendi, Giorgio Armani, Goyard, Givenchy, Gucci, Hermès, Jacquemus, LOEWE, Louis Vuitton, Michael Kors, Prada, Stella McCartney, The Row, Valentino, Versace, Yves Saint Laurent and more.

Market Coverage:

- Coverage: Global
- Date range: 2000 - date
- Dataset latency: Daily
- Update frequency: Daily
SOLUTIONS

Advanced analytics with data access

Connect your favorite data analytics tools directly to our datasets for a streamed workflow.
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Trending Market Research Topics

Try our handbags datasets to test these research hypotheses.
Handbags

The rise of the handbag in the twenty-first century: Value creation and media strategies

This study examines how the handbag has developed into a highly reputable and gratifying object in the twenty-first century. It places it at the intersection of three attributes: a sociocultural accessory, a feminine hallmark and a status marker. The study sheds light on the handbag’s latest appearance as non-fungible asset in the virtual world and the problematic volatility of its monetary value.
Paula von Wachenfeldt
August 11, 2025
Handbags

Exploring Motivations for Pre-Loved Luxury Handbag Purchases

The pre-loved luxury market, particularly for handbags, is undergoing a period of rapid growth, driven by digital platforms and attracting younger consumers. The authors identified new motivations for purchasing pre-loved luxury handbags based on a survey of 1,002 respondents. The findings of this study highlight the significant influence of pleasure and exclusivity on consumer behavior and, provide valuable guidance for brands and online platforms to effectively engage with this market.
Cidália Neves, Isabel Machado, Laura A. Tavares
January 1, 2025
Handbags

Willingness to Pay for Status Signals in Online Luxury Markets

The authors study consumers’ valuation of status signals by estimating their willingness to pay for a luxury item with a quiet vs. a prominent logo. The study finds that consumers are willing to pay a sizeable premium of $161–$174, or 17%–18% of the retail price, for quiet handbags as compared to loud handbags. The study suggests that counter to conventional wisdom, consumers are willing to pay more for quietly marked luxury goods that allow them to signal a more targeted group of peers with similar cultural capital or social connectedness.
Yue Yuan, Mary E. Deily, Yuliang Yao
February 1, 2022
Handbags

Motivations for Purchasing Luxury Handbags

In 2014, Chinese luxury market accounts for 25% of whole luxury consumption in the world, becoming the largest luxury market in the world. However, the attitudes and motivations held by Chinese consumers towards luxury products consumption are under-researched, thus becoming an important academic topic, which needs exploration. The study adopts a multiple regression analysis to explore the potential causal relationships. The conclusion is that income is a statistically significant predictor and the knowledge gap has been greatly narrowed, while education and age do not have significant effects on luxury handbags buying motivations.
Yuewei Wei, Yi Wang
November 1, 2016

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