Tri-County Financial Group (TYFG) Fair Value & Analysis
Financial Services · US · Market cap $150M
Fair value as of: Jun 26, 2026
Analysis
Tri-County Financial Group (TYFG) currently trades at $63.69, while our model-based Fair Value estimate is $74.68 — implying the stock looks roughly 17.3% 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
Tri-County Financial Group, Inc. operates as a bank holding company for First State Bank, providing various banking and mortgage banking services, and insurance services to individuals and businesses in the United States. It operates through two segments: Commercial Banking and Mortgage Banking. The Commercial Banking segment provides loan and deposit products to individual consumers and businesses in all markets through retail lending, deposit services, online banking, mobile banking, private banking, commercial lending, commercial real estate lending, agricultural lending, and other banking services. The Mortgage Banking segment offers residential mortgage banking products. It also provides commercial loans, such as commercial and industrial loans; real estate loans, including commercial real estate, agricultural real estate, and one-to-four family residential mortgage loans; and agricultural loans, comprising agricultural operating loans, farm products, livestock and machinery pu…
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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.