Medallion Financial Corp (MFIN) Fair Value & Analysis
Financial Services · US · Market cap $220M
Fair value as of: Jun 26, 2026
Analysis
Medallion Financial Corp (MFIN) currently trades at $9.97, while our model-based Fair Value estimate is $19.94 — implying the stock looks roughly 100.0% undervalued today. We read business quality at 90/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Medallion Financial Corp., together with its subsidiaries, operates as a specialty finance company in the United States. It operates in four segments: Recreation Lending, Home Improvement Lending, Commercial Loans, Taxi Medallion Lending. The company offers loans that finance consumer purchases of recreational vehicles, boats, collector cars, and other consumer recreational equipment; consumer financing for window, siding, and roof replacement, swimming pool installations, and other home improvement projects; senior and subordinated loans for the purchase of equipment and related assets necessary to open a new business, or purchase or improvement of an existing business; and taxi medallion loans to individuals and small to mid-size businesses. It also provides debt, mezzanine, and equity investment capital to companies in various commercial industries; and raises deposits and conducts other banking activities. The company was incorporated in 1995 and is headquartered in New York Cit…
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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.