CorVel Corporation (CRVL) Fair Value & Analysis
Financial Services · US · Market cap $3.0B
Analysis
CorVel Corporation (CRVL) currently trades at $61.93, while our model-based Fair Value estimate is $47.89 — implying the stock looks roughly 22.7% overvalued today. We read business quality at 97/100 (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
CorVel Corporation provides workers' compensation, general and auto liability, and hospital bill auditing and payment integrity solutions. It applies technology, including artificial intelligence, machine learning, and natural language processing to enhance the managing of episodes of care and the related health care costs. The company also offers network solutions services, including automated medical fee auditing; preferred provider management and reimbursement; retrospective utilization, facility claim, and professional review; pharmacy, directed care, clearinghouse, independent medical examination, and inpatient medical bill review services, as well as Medicare solutions. In addition, it provides a range of patient management services, such as claims management customers, case management, 24/7 nurse triage, utilization management, vocational rehabilitation, and life care planning, as well as processing of claims for self-insured payors with respect to property and casualty insur…
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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.