First Farmers Financial Corporation (FFMR) Fair Value & Analysis
Financial Services · US · Market cap $708M
Fair value as of: Jun 25, 2026
Analysis
First Farmers Financial Corporation (FFMR) currently trades at $34.05, while our model-based Fair Value estimate is $31.29 — implying the stock looks roughly 8.1% 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: high).
About the company
First Farmers Financial Corporation operates as the financial holding company for First Farmers Bank & Trust, which provides banking products and services to individuals, families, and businesses. The company offers business products, including checking and savings accounts, business lending, leasing, treasury management, small business loans, autobooks and home base; personal banking products, such as essential, interest, and foundation checking, regular, minor, senior and health savings accounts, certificates of deposit, and individual retirement accounts, as well as account management services; and lines of credit, term loans, real estate financing and construction loan, equipment financing, inventory loans, livestock lending, and vehicle financing, as well as leasing, and mobile and online banking services. The company also offers mortgages and construction loans, first time home buyers' loans, home equity loans, auto loans, collateral loans, and debit and credit cards. The comp…
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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.