RLI Corp (RLI) Fair Value & Analysis
Financial Services · US · Market cap $4.7B
Fair value as of: Jun 25, 2026
Analysis
RLI Corp (RLI) currently trades at $54.75, while our model-based Fair Value estimate is $57.03 — implying the stock looks roughly 4.2% 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
RLI Corp., an insurance holding company, provides property, casualty, and surety insurance products. Its Casualty segment provides commercial excess, personal umbrella, general liability, transportation, and management liability coverages; professional liability and workers' compensation for office-based professional coverages; commercial automobile liability and physical damage insurance to local, intermediate and long haul truckers, public transportation entities, and other specialty commercial automobile risks; incidental related insurance coverages; inland marine coverages; directors and officers liability insurance, fiduciary liability and coverages, employment practice liability, public and private businesses risk, and home business insurance products. This segment also offers coverages for security guards and environmental liability for underground storage tanks, contractors and asbestos, and environmental remediation specialists; and professional liability coverages for erro…
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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.