ExlService Holdings (EXLS) Fair Value & Analysis
Technology · US · Market cap $4.5B
Fair value as of: Jun 24, 2026
Analysis
ExlService Holdings (EXLS) currently trades at $26.16, while our model-based Fair Value estimate is $30.05 — implying the stock looks roughly 14.9% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
ExlService Holdings, Inc., operates as a data and artificial intelligence ("AI") company in the North America, the United Kingdom, Europe, and internationally. The company operates through Insurance; Healthcare and Life Sciences; Banking, Capital Markets, and Diversified Industries; and International Growth Markets. It provides digital operations and solutions and analytics-driven services, such as claims management, premium and benefit administration, agency management, account reconciliation, actuarial and risk analytics, policy research, digital marketing, underwriting support, new business acquisition, policy servicing, audit, surveys, billing and collection, commercial and residential survey, and customer service; digital customer acquisition services using a software-as-a-service delivery model through LifePRO and Life Digital Suite platforms; and Subrosource software platform, an end-to-end subrogation platform. The company also offers health care services for care, utilizati…
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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.