BayFirst Financial Corp (BAFN) Fair Value & Analysis
Financial Services · US · Market cap $20.5M
Fair value as of: Jun 26, 2026
Analysis
BayFirst Financial Corp (BAFN) currently trades at $4.61, while our model-based Fair Value estimate is $7.62 — implying the stock looks roughly 65.3% undervalued today. We read business quality at 95/100 (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: medium) — always confirm before acting.
About the company
BayFirst Financial Corp. operates as the bank holding company for BayFirst National Bank that provides community banking services for small and medium sized businesses and individuals. The company offers checking, savings, negotiable order of withdrawal, and money market deposit accounts, as well as certificates of deposit and individual retirement accounts; and safety deposit boxes. It also provides commercial real estate mortgages; construction and development, working capital, and business loans; auto, boat, and recreational vehicle loans; and residential mortgages, personal lines of credit, and home equity lines of credit. In addition, the company offers internet, mobile and online banking, lock box services, remote capture and deposit, treasury management, wire transfers, cash management, merchant processing, remote deposit capture, night depository, online bill payment, courier, retail investment, ACH originations, and other services. It operates full-service banking centers i…
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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.