WIPRO.NS stock INR 242.30 (02 Feb 2026) market closed: AI focus, 13.30% 12‑month upside

WIPRO.NS stock closed at INR 242.30 on 02 Feb 2026 on the NSE after a 1.04% intraday rise. Trading volume finished at 12,335,237 shares, above the average of 9,092,600, showing renewed buying interest. Wipro Limited (WIPRO.NS) is positioning AI services inside its IT Services mix, and today’s close reconnects price action to its 50‑day average at INR 256.67. Investors should weigh the near‑term momentum against a PE of 18.76 and EPS of 12.63 INR for valuation context.

WIPRO.NS stock: market snapshot and session details

Wipro Limited (WIPRO.NS) ended the session on 02 Feb 2026 on the NSE at INR 242.30. The stock traded between INR 239.29 and INR 244.08 today. Market cap stands near INR 2.48T and shares outstanding are 10,475,294,520. Year range is INR 228.00 to INR 323.60, which frames both risk and reward.

WIPRO.NS stock fundamentals and earnings context

Wipro reports EPS of 12.63 INR and a trailing PE of 18.76, signaling a mid‑cycle valuation versus Indian tech peers. Trailing financials show healthy cash per share at INR 54.78 and book value per share at INR 85.80. Dividend per share is INR 11.00, implying a yield near 4.64% today. Analysts note next earnings on 15 Apr 2026, which could reset guidance and affect the stock’s short run.

WIPRO.NS stock analysis: AI strategy and sector outlook

Wipro is embedding generative AI and cloud migration services into client work, a move that affects revenue mix. The Technology sector in India shows weakness YTD but higher long‑term digital spend supports AI services demand. WIPRO.NS analysis shows the company’s margin profile and ROE of 15.49% help it compete with larger Indian peers on AI projects.

WIPRO.NS stock technicals and trading levels

The technical picture for WIPRO.NS is mixed but tradable. RSI sits at 53.85, inside neutral territory. Key resistance sits near the 50‑day average at INR 256.67, then the 200‑day average at INR 251.67. Immediate support is the day low INR 239.29 and the year low INR 228.00. Average volume is rising; today’s relative volume was 1.25x, indicating stronger participation.

Meyka AI rates WIPRO.NS with a score out of 100 and forecast

Meyka AI rates WIPRO.NS with a score out of 100: 80.97 (Grade A, Suggestion: BUY). This grade factors in S&P 500 benchmark comparison, sector performance, financial growth, key metrics, and analyst consensus. Meyka AI’s forecast model projects a 12‑month target of INR 274.54, implying an upside of 13.30% versus the current price of INR 242.30. Monthly and quarterly model outputs sit at INR 215.90 and INR 194.24, respectively, showing short‑term volatility risk. Forecasts are model‑based projections and not guarantees.

WIPRO.NS stock risks and catalysts for AI investors

Catalysts include larger AI deal wins, stronger digital services growth, and margin expansion from higher‑value projects. Risks include client budget cycles, margin pressure from wage inflation, and slower service demand in key markets. Sector performance and macro IT spend remain key external drivers for WIPRO.NS stock performance in India and global markets.

Final Thoughts

WIPRO.NS stock closed at INR 242.30 on 02 Feb 2026, with volume above average and modest intraday strength. Fundamentals show a reasonable valuation at PE 18.76 and robust cash per share of INR 54.78. Technicals point to immediate resistance at INR 256.67 and support near INR 239.29. Meyka AI’s forecast model projects a 12‑month target of INR 274.54, implying 13.30% upside from today’s close. Investors focused on AI stocks should treat Wipro as a balanced play: it offers exposure to AI services with decent yield but carries short‑term volatility risk. Meyka AI, our AI‑powered market analysis platform, flags earnings on 15 Apr 2026 as a key catalyst. Forecasts are model‑based projections and not guarantees.

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Disclaimer:

Stock markets involve risks. This content is for informational purposes only. Past performance does not guarantee future results. Meyka AI PTY LTD provides market analysis and data insights, not financial advice. Always conduct your own research and consider consulting a licensed financial advisor.