Capitol Federal Financial, Inc (CFFN) Fair Value & Analysis
Financial Services · US · Market cap $973M
Fair value as of: Jun 25, 2026
Analysis
Capitol Federal Financial, Inc (CFFN) currently trades at $8.39, while our model-based Fair Value estimate is $7.11 — implying the stock looks roughly 15.3% 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: high).
About the company
Capitol Federal Financial, Inc. operates as the holding company for Capitol Federal Savings Bank that provides various retail banking products and services in the United States. The company offers a range of deposit products, including savings accounts, money market accounts, interest-bearing and non-interest-bearing checking accounts, and certificates of deposit, as well as retirement accounts. It also provides various loan products, such as one- to four-family residential real estate loans, commercial real estate, commercial and industrial, and construction loans, as well as consumer loans, which include home equity loans and lines of credit, home improvement loans, vehicle loans, and loans secured by savings deposits. In addition, the company offers mobile, telephone, and online banking services, as well as bill payment services and mortgage loan; operates a call center; and invests in various securities and mortgage-backed securities. Capitol Federal Financial, Inc. was founded …
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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.