Orange County Bancorp, Inc (OBT) Fair Value & Analysis
Financial Services · US · Market cap $499M
Analysis
Orange County Bancorp, Inc (OBT) currently trades at $36.74, while our model-based Fair Value estimate is $40.35 — implying the stock looks roughly 9.8% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Orange County Bancorp, Inc., a bank holding company, through its subsidiaries, provides commercial and consumer banking products and services. The company operates in Business Banking, Private Banking, and Trust & Wealth Management segments. It accepts various deposits, including interest-bearing and noninterest-bearing demand accounts, money market deposit accounts, savings accounts, and certificates of deposit. The company also offers commercial real estate loans, commercial and industrial loans, commercial real estate construction loans, residential real estate loans, home equity loans, and consumer loans. In addition, it provides traditional trust and administration, asset management, financial planning, and wealth management services; and financial products, including checking, savings, money market accounts, certificates of deposit, and treasury management services. The company offers its products to small businesses, middle-market enterprises, local municipal governments, and…
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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.