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Wipro Share Price Target 2026, 2027, 2028, 2029, 2030

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Wipro Share Price Target : Wipro Limited, a global IT services giant, announced Q3 FY26 results with revenue climbing 5.5% YoY to ₹23,556 crore, though net profit dipped 7% to ₹3,119 crore amid margin pressures. As of January 16, 2026, the NSE share price hovers at ₹267, reflecting a market cap of ₹2.8 lakh crore and PE ratio of 20.1.​

Recent Financial Snapshot

Q3 IT services revenue held steady at ₹23,336 crore, with EBIT margin at 15.3% on a reported basis despite sequential decline. Large deal wins surged, signaling robust pipelines in AI and cloud amid cost optimizations. Year-to-date performance shows resilience in a competitive IT landscape.​

Strategic Growth Catalysts

Wipro advances as an AI-first firm through NVIDIA partnerships and sovereign AI platforms like WeGA, targeting BFSI and telecom data sovereignty needs. Cloud modernization and 200+ AI agents drive high-margin deals, bolstered by $200M Ventures investment for innovation in quantum and digital ledgers. Global expansion and upskilling programs position it for tech sector recovery.

Wipro Share Price Targets 2026-2030

Projections from analysts blend technicals, earnings growth, and AI adoption trends, with conservative estimates around 10-15% CAGR and optimistic ones higher on deal ramps. The table aggregates year-end targets (in ₹) from multiple sources for a comprehensive view.​

YearLow TargetAverage TargetHigh Target
2026290400510
2027350500700
2028400600800
2029450750900
20306009501,200

Key Risks and Opportunities

Volatility from US slowdowns and peer competition poses headwinds, but AI bookings growth offers upside leverage. Margin expansion via execution discipline and emerging tech investments could accelerate targets. Monitor Q4 guidance for sustained momentum.​

Final Investment Outlook

Technicals indicate support at ₹260 and resistance near ₹280 short-term, with long-term bulls eyeing AI-driven rerating. These forecasts guide strategic planning; always pair with thorough research in dynamic markets.​

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