Carver Bancorp, Inc (CARV) Fair Value & Analysis
Financial Services · US · Market cap $7.9M
Fair value as of: Jun 26, 2026
Analysis
Carver Bancorp, Inc (CARV) currently trades at $1.48, while our model-based Fair Value estimate is $1.21 — implying the stock looks roughly 18.3% 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: low).
About the company
Carver Bancorp, Inc. operates as the holding company for Carver Federal Savings Bank that provides consumer and commercial banking services for consumers, businesses, non-profit organizations, and governmental and quasi-governmental agencies primarily in New York. It accepts various deposit products, including demand, savings, and time deposits; passbook and statement accounts, and certificates of deposit; and individual retirement accounts. The company provides lending products, such as one-to-four family residential, multifamily real estate, and commercial real estate lending; and construction and business loans. In addition, it offers other consumer and commercial banking products and services, including debit cards, online account opening and banking, online bill pay, and telephone banking, as well as check cashing, wire transfers, bill payment, reloadable prepaid card, and money order services. Carver Bancorp, Inc. was founded in 1948 and is headquartered in New York, New York.
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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.