CRA International, Inc (CRAI) Fair Value & Analysis
Industrials · US · Market cap $896M
Analysis
CRA International, Inc (CRAI) currently trades at $144.07, while our model-based Fair Value estimate is $149.28 — implying the stock looks roughly 3.6% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
CRA International, Inc., together with its subsidiaries, provides economic, financial, and management consulting services worldwide. It advises clients on economic and financial matters pertaining to litigation and regulatory proceedings; and guide corporations through business strategy and performance-related issues. The company also offers consulting services, including research and analysis, expert testimony, and comprehensive support in litigation and regulatory proceedings in the areas of finance, accounting, economics, insurance, and forensic accounting and investigations to corporate clients and attorneys. In addition, it provides management consulting services, such as strategy development, performance improvement, corporate strategy and portfolio analysis, estimation of market demand, environmental, social and corporate governance and sustainability strategy and analysis, design and implementation of auction and bidding, new product pricing strategies, survey and market res…
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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.