SVB & T Corporation (SVBT) Fair Value & Analysis
Financial Services · US · Market cap $74.5M
Fair value as of: Jun 26, 2026
Analysis
SVB & T Corporation (SVBT) currently trades at $66.72, while our model-based Fair Value estimate is $103.99 — implying the stock looks roughly 55.9% 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
SVB & T Corporation operates as a financial holding company for Springs Valley Bank & Trust Company, providing banking and financial services to families and businesses in Dubois, Daviess, Gibson, Orange, and surrounding counties in southern Indiana. The company offers checking, savings, and club accounts, certificates of deposit, individual retirement accounts, health savings accounts, and safe deposit boxes. It also provides personal loans, including mortgages, construction, professional, first-time home buyer, veterans and federal housing administration, US Department of Agriculture, home equity, and consumer and student loan products, and debit and credit cards. In addition, the company offers business loans, including commercial and agricultural loans, lines of credit, small business administration/farm service agency loans, and leases, as well as financial planning, investment management, estate planning and administration, trust services, and other services. Further, it provi…
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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.