M&F Bancorp, Inc (MFBP) Fair Value & Analysis
Financial Services · US · Market cap $55.1M
Fair value as of: Jun 26, 2026
Analysis
M&F Bancorp, Inc (MFBP) currently trades at $29.01, while our model-based Fair Value estimate is $28.88 — implying the stock looks roughly 0.4% 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
M&F Bancorp, Inc. operates as the bank holding company for Mechanics and Farmers Bank that provides consumer and commercial banking products and services in North Carolina. It offers personal and business checking and savings, health savings, investment, individual retirement, and money market accounts, as well as certificates of deposit; home equity line of credit; payments and cash management solutions; and online and mobile banking services. The company also provides personal unsecured loans, personal unsecured line of credit, secured personal loans and lines of credit, and auto loans; and business and small business administration loans, as well as credit cards. In addition, it offers wealth management, college savings planning, eldercare financial planning, financial planning, insurance planning, investments and brokerage accounts, and retirement income planning services. The company was founded in 1907 and is headquartered in Durham, North Carolina.
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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.