Cross Country Healthcare, Inc (CCRN) Fair Value & Analysis
Healthcare · US · Market cap $425M
Fair value as of: Jun 24, 2026
Analysis
Cross Country Healthcare, Inc (CCRN) currently trades at $13.19, while our model-based Fair Value estimate is $16.28 — implying the stock looks roughly 23.4% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: medium) — always confirm before acting.
About the company
Cross Country Healthcare, Inc. provides talent management services for healthcare clients in the United States. The company operates in two segments: Nurse and Allied Staffing, and Physician Staffing. The Nurse and Allied Staffing segment provides traditional staffing, recruiting, and value-added total talent solutions, including temporary and permanent placement of travel nurse and allied professionals, per diem, and healthcare leaders within nursing, allied, human resources, and finance; vendor neutral and managed services programs; and education healthcare, caregiver services, and outsourcing services. This segment offers staffing solutions for registered nurses, licensed practical nurses, certified nurse assistants, practitioners, pharmacists, and other allied professionals on per diem and short-term assignments; and clinical and non-clinical professionals on long-term assignments, as well as workforce solutions, including MSP, VMS, RPO, project management, and other outsourcing…
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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.