Generations Bancorp NY, Inc (GBNY) Fair Value & Analysis
Financial Services · US · Market cap $34.4M
Fair value as of: Jun 26, 2026
Analysis
Generations Bancorp NY, Inc (GBNY) currently trades at $15.20, while our model-based Fair Value estimate is $3.47 — implying the stock looks roughly 77.2% 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
Generations Bancorp NY, Inc. operates as a holding company for Generations Bank that engages in the provision of various banking products and services. It accepts various deposit accounts, including demand, NOW, money market, savings, and certificates of deposit accounts. The company provides one- to four-family residential real estate loans, including home equity loans and lines of credit; consumer loans, such as student, automobile, recreational vehicle, manufactured home, and other consumer loans; and commercial real estate and multi-family, consumer business, residential and commercial construction loans. In addition, it invests in securities, including corporate and municipal bonds issued by states, local municipalities, and schools in the northeastern United States; and mortgage-backed securities issued by the U.S. government sponsored entities and Federal Home Loan Bank stock, as well as offers insurance and other financial products. It operates through primary office in Sene…
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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.