Investar Holding (ISTR) Fair Value & Analysis
Financial Services · US · Market cap $412M
Fair value as of: Jun 26, 2026
Analysis
Investar Holding (ISTR) currently trades at $29.46, while our model-based Fair Value estimate is $21.59 — implying the stock looks roughly 26.7% 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
Investar Holding Corporation operates as the bank holding company for Investar Bank that provides a range of commercial banking products to individuals, professionals, and small to medium-sized businesses in south Louisiana, southeast Texas, and Alabama in the United States. The company offers various deposit products and services, such as savings, checking, money market, and individual retirement accounts, as well as various certificates of deposit; debit and credit cards; internet, mobile, and video banking services; and reciprocal deposit products. It also provides commercial real estate loans; commercial and industrial loans, including working capital lines of credit and equipment loans; construction and development loans comprising loans for the construction of commercial projects, and single family residential and multifamily properties; one-to-four family residential real estate loans, which includes second mortgage loans; and consumer loans, such as secured or unsecured loan…
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Frequently asked questions
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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.