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1stdibs.Com, Inc (DIBS) Fair Value & Analysis

Communication Services · US · Market cap $153M

Price$4.46
Fair Value$1.80
Upside-59.6%
Quality95/100
Evidence: Low Range $1.19 – $2.26

Fair value as of: Jun 25, 2026

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Analysis

1stdibs.Com, Inc (DIBS) currently trades at $4.46, while our model-based Fair Value estimate is $1.80 — implying the stock looks roughly 59.6% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

1stdibs.Com, Inc. operates an online marketplace for luxury design products worldwide. The company's marketplace connects customers with sellers and makers of vintage, antique, contemporary furniture, home décor, jewelry, watches, art, and fashion products. It also provides advertising services. 1stdibs.Com, Inc. was incorporated in 2000 and is headquartered in New York, New York.

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Frequently asked questions

Is 1stdibs.Com, Inc (DIBS) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $1.80 versus a price of $4.46 — about −60% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DIBS?
Our 21-model fair value for 1stdibs.Com, Inc is $1.80 (as of Jun 25, 2026), built from audited fundamentals. The current price is $4.46.
What is the quality score of DIBS?
1stdibs.Com, Inc has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.