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DVL, Inc (DVLN) Fair Value & Analysis

Financial Services · US · Market cap $16.1M

Price$3,400
Fair Value$872.65
Upside-74.3%
Quality95/100
Evidence: Low Range $575.95 – $1,091

Fair value as of: Jun 26, 2026

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Analysis

DVL, Inc (DVLN) currently trades at $3,400, while our model-based Fair Value estimate is $872.65 — implying the stock looks roughly 74.3% overvalued today. We read business quality at 95/100 (high quality), in the Financial 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

DVL, Inc., together with its subsidiaries, operates as a commercial real estate company in the United States. The company is involved in the ownership of real estate and mortgages; ownership of residual interests in securitized portfolios; and real estate asset management and administrative activities. DVL, Inc. was incorporated in 1977 and is based in New York, New York.

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Frequently asked questions

Is DVL, Inc (DVLN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $872.65 versus a price of $3,400 — about −74% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DVLN?
Our 21-model fair value for DVL, Inc is $872.65 (as of Jun 26, 2026), built from audited fundamentals. The current price is $3,400.
What is the quality score of DVLN?
DVL, 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.