Wipro Limited (WIT) Fair Value & Analysis
Technology · US · Market cap $23.0B
Fair value as of: Jun 25, 2026
Analysis
Wipro Limited (WIT) currently trades at $2.19, while our model-based Fair Value estimate is $2.67 — implying the stock looks roughly 21.9% undervalued today. We read business quality at 96/100 (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
Wipro Limited operates as an information technology (IT), consulting, and business process services company worldwide. It operates through IT Services and IT Products segments. The IT Services segment offers AI-powered IT and IT-enabled services, including digital strategy advisory, customer-centric design, technology and IT consulting, custom application design, development, re-engineering and maintenance, systems integration, package implementation, cloud and infrastructure, business process, cloud, mobility and analytics, research and development, and hardware and software design services to enterprises. Its IT Products segment provides a range of third-party IT products, including enterprise platforms, networking solutions, software and data storage products, contact center infrastructure, enterprise security, IT optimization technologies, video solutions, and end-user computing solutions. The company has a strategic alliance with the Indian Institute of Science and the Foundati…
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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.