Valley National Bancorp (VLYPP) Fair Value & Analysis
Financial Services · US · Market cap $3.1B
Analysis
Valley National Bancorp (VLYPP) currently trades at $24.73, while our model-based Fair Value estimate is $23.45 — implying the stock looks roughly 5.2% 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
Valley National Bancorp operates as the holding company for Valley National Bank that provides various commercial, private banking, retail, insurance, and wealth management financial services products. The company operates through Consumer Banking, Commercial Banking, and Treasury and Corporate other segments. It offers non-interest bearing, savings, NOW, money market, and time deposit accounts; commercial and industrial, commercial real estate, construction, residential mortgage, and automobile loans; loans secured by the cash surrender value of life insurance; home equity loans and lines of credit; automobile financing; and secured and unsecured other consumer loans. The company also invests in various securities and interest-bearing deposits with other banks; and provides international banking services. In addition, it offers investment services for individuals and small to medium sized businesses; and trusts investment strategies designed for various investment profiles and obje…
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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.