Genpact Limited (G) Fair Value & Analysis
Technology · US · Market cap $5.6B
Analysis
Genpact Limited (G) currently trades at $28.53, while our model-based Fair Value estimate is $60.20 — implying the stock looks roughly 111.0% 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
Genpact Limited provides business process outsourcing and information technology services in India, the rest of Asia, North and Latin America, and Europe. It operates through three segments: Financial services; Consumer and Healthcare; and High Tech and Manufacturing. The Financial Services segment offers customer onboarding, customer service, collections, retail and commercial loan operations, payment operations, mortgage origination and servicing, compliance, wealth management, capital market operations support, financial crime and risk management, proprietary insurance policy suite, underwriting support, new business processing, policy administration, customer, claims management, catastrophe and exposure/risk modeling, actuarial services, end-to-end third-party administration for property and casualty claims, and technology services. The Consumer and Healthcare segment provides demand generation, sensing and planning, supply chain planning and management, pricing and trade promot…
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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.