Orrstown Financial Services, Inc (ORRF) Fair Value & Analysis
Financial Services · US · Market cap $767M
Analysis
Orrstown Financial Services, Inc (ORRF) currently trades at $40.67, while our model-based Fair Value estimate is $53.50 — implying the stock looks roughly 31.5% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Orrstown Financial Services, Inc. operates as the financial holding company for Orrstown Bank that provides commercial banking and financial advisory services to retail, commercial, non-profit, and government clients in the United States. It accepts various deposits, including checking, savings, time, demand, and money market deposits, as well as certificates of deposit. The company also offers commercial loans, such as commercial real estate, equipment, construction, working capital, and other commercial purpose loans, as well as industrial loans; consumer loans, such as home equity and other consumer loans, as well as home equity lines of credit; residential mortgage loans; agricultural loans; acquisition and development loans; municipal loans; and installment and other loans. In addition, it provides services as trustee, executor, administrator, guardian, managing agent, custodian, and investment advisor, as well as other fiduciary services under the Orrstown Financial Advisors n…
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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.