North Dallas Bank & Trust Co (NODB) Fair Value & Analysis
Financial Services · US · Market cap $163M
Fair value as of: Jun 26, 2026
Analysis
North Dallas Bank & Trust Co (NODB) currently trades at $63.50, while our model-based Fair Value estimate is $43.57 — implying the stock looks roughly 31.4% 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
North Dallas Bank & Trust Co. operates as an independent community bank in Texas. It offers checking and savings accounts; certificate of deposits and individual retirement accounts; vehicle, personal, overdraft protection, home equity, home improvement, and construction and residential lot loans, as well as home equity line of credit; debit and credit cards; mortgage loans; and online and mobile banking services. The company also provides business lines of credit, equipment financing, commercial real estate, and interim construction loans, as well as healthcare financing and physician services; and treasury services, such as payables, receivables, information reporting, liquidity management, and fraud mitigation services. In addition, it offers investment management, trust, retirement, financial planning, and wealth management services. North Dallas Bank & Trust Co. was founded in 1961 and is headquartered in Dallas, Texas.
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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.