CCC Intelligent Solutions Holdings (CCC) Fair Value & Analysis
Technology · US · Market cap $2.9B
Analysis
CCC Intelligent Solutions Holdings (CCC) currently trades at $4.38, while our model-based Fair Value estimate is $0.7100 — implying the stock looks roughly 83.8% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
CCC Intelligent Solutions Holdings Inc. operates as a software as a service (SaaS) company for the property and casualty insurance economy in the United States and China. The company's cloud-based SaaS platform connects trading partners, facilitates commerce, and supports mission-critical, artificial intelligence enabled digital workflow across the insurers, repairers, automakers, parts suppliers, lenders, and others. It offers CCC insurance solutions, including CCC workflow, CCC estimating, CCC Total Loss, CCC subrogation, CCC automotive claim handling, CCC casualty, bodily injury claims synthesis, disability claims guidance, and workers' compensation claims guidance; CCC repair solutions, such as CCC estimating, CCC network management, CCC repair workflow, CCC repair quality, and CCC business-office solutions; CCC ecosystem and other solutions, which includes CCC parts solutions, CCC automotive manufacturer solutions, CCC diagnostics service provider solutions, and CCC payments; a…
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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.