Provident Financial Holdings (PROV) Fair Value & Analysis
Financial Services · US · Market cap $105M
Fair value as of: Jun 26, 2026
Analysis
Provident Financial Holdings (PROV) currently trades at $17.17, while our model-based Fair Value estimate is $13.00 — implying the stock looks roughly 24.3% 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
Provident Financial Holdings, Inc. operates as the bank holding company for Provident Savings Bank, F.S.B. that provides community banking and financial services in Southern California, the United States. The company offers deposit products, such as checking, savings, money market, and time deposit accounts; and merchant and wealth management services. It also provides lending services, including single-family, multi-family, commercial real estate, and other mortgage loans; and construction, commercial business, and consumer loans. In addition, the company offers investment services comprising the sale of alternative investment products, such as annuities and mutual funds; and trustee services for real estate secured loan transactions. It serves individuals, small to mid-sized businesses, and institutional clients. Provident Financial Holdings, Inc. was founded in 1956 and is headquartered in Riverside, California.
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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.