First Busey Corporation (BUSE) Fair Value & Analysis
Financial Services · US · Market cap $2.3B
Analysis
First Busey Corporation (BUSE) currently trades at $29.25, while our model-based Fair Value estimate is $20.79 — implying the stock looks roughly 28.9% 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
First Busey Corporation operates as the bank holding company for Busey Bank that engages in the provision of retail and commercial banking products and services to individual, corporate, institutional, and governmental customers in the United States. The company operates through three segments: Banking, Wealth Management, and FirsTech. It offers demand and savings deposits, money transfers, safe deposit services, individual retirement accounts and other fiduciary services, automated teller machines, and technology-based networks, as well as various loan products, including residential real estate, home equity lines of credit, and consumer loans to individual customers; and commercial, commercial real estate, real estate construction, and agricultural loans, as well as cash management services to corporate customers. The company also provides asset management, investment, brokerage, fiduciary, philanthropic advisory, tax preparation, and farm management services; trust and estate adv…
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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.