Triumph Financial, Inc (TFIN) Fair Value & Analysis
Financial Services · US · Market cap $1.8B
Analysis
Triumph Financial, Inc (TFIN) currently trades at $75.63, while our model-based Fair Value estimate is $13.85 — implying the stock looks roughly 81.7% 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: high).
About the company
Triumph Financial, Inc., a financial holding company, provides banking, factoring, payments, and intelligence services in the United States. It offers deposit products, including checking, savings, money market, and certificates of deposit; and loan products, such as commercial real estate, commercial construction, land, and land development, residential real estate, agriculture, and consumer loans, as well as commercial and industrial loans, equipment loans, asset-based loans, business loans for working capital and operational purposes, and liquid credit loans. The company also provides electronic banking services, debit cards, insurance brokerage services, mortgage warehouse facilities, and transportation factoring services; payment, audit, and other banking services for the over the road trucking industry; and LoadPay product, a digital bank account developed for Carriers, as well as provides service and performance scoring and benchmarking to the over-the-road trucking industry.…
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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.