Low
₹188.63
High
₹197.25
| Previous Close | ₹189.84 |
|---|---|
| Day's Range | ₹188.63 - ₹197.25 |
| Open | ₹194.50 |
| 52 Week Range | ₹156.79 - ₹273.10 |
| Volume | 2,76,80,351 |
| Market Cap | ₹0.19 |
| Previous Close | ₹189.75 |
|---|---|
| Day's Range | ₹188.55 - ₹197.35 |
| Open | ₹194.20 |
| 52 Week Range | ₹156.60 - ₹273.15 |
| Volume | 9,79,156 |
| Market Cap | ₹0.19 |
| Trade Value ( ₹ in Lacs) | 53,215.02 |
|---|---|
| Market Cap (₹ in Mn) | 0.19 |
| Dividend Yield(%) | 5.80 |
| Price/Earning (TTM) | 14.27 |
| TTM EPS (₹) | 13.30 |
| P/E Ratio | 14.91 |
| Book Value(₹) | 2.38 |
| PAT Margin (%) | 14.32 |
| Face Value (₹) | 2.00 |
| ROCE(%) | 18.49 |
| Trade Value ( ₹ in Lacs) | 1,889.85 |
|---|---|
| Market Cap (₹ in Mn) | 0.19 |
| Dividend Yield(%) | 5.80 |
| Price/Earning (TTM) | 14.27 |
| TTM EPS (₹) | 13.30 |
| P/E Ratio | 14.91 |
| Book Value(₹) | 2.38 |
| PAT Margin (%) | 14.32 |
| Face Value (₹) | 2.00 |
| ROCE(%) | 18.49 |
| Particulars | QTR FY (₹ in Millions) | Annual FY (₹ in Millions) |
|---|---|---|
| Net sales | 226973.0 | 890884.0 |
| Expenses | N/A | N/A |
| PBT | 42824.0 | 174957.0 |
| Operating profit | 0.0 | 0.0 |
| Net profit | 32624.0 | 132180.0 |
| Founded | 1945 |
|---|---|
| Managing Director | Srinivas Pallia |
| NSE Symbol | WIPRO |
Pursuant to Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015 and para 202.05 read with para 202.06 of the NYSE Listed Company Manual, Wipro has informed that the company through its step-down subsidiary - Wipro IT Services, LLC has signed a definitive agreement to acquire 20% shareholding in FLARRE.AI, Inc. on October 15, 2026. The details as required under SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015 read with relevant SEBI circulars are provided in Annexure-1.
The above information is a part of company’s filings submitted to BSE.
Xchanging Solutions has informed that the meeting of the Board of Directors of the Company is scheduled on 30/10/2026, inter alia, to consider and approve the Un-Audited (Standalone & Consolidated) Financial Results of the Company for the Quarter and six months ended September 30, 2026.
The above information is a part of company’s filings submitted to BSE.
No Records Found
The current share price of Wipro Ltd. is ₹189.84 as of 2026-10-23.
The market capitalisation of Wipro Ltd. is ₹187,949.57 as of 2026-10-23.
The 1-year return of Wipro Ltd. is -53.14% as of 2026-10-23.
The P/E ratio of Wipro Ltd. is 14.91 as of 2026-10-25.
The 52-week high and low of Wipro Ltd. are ₹273.10 and ₹156.79, respectively, as of 2026-10-23.
Wipro provides consulting-led technology services encompassing AI transformation, cybersecurity, cloud migration, and co-innovation. These help enterprises drive outcomes in design and operations. Announced in August 2025, Harman's DTS deal boosts Wipro’s engineering and integration capabilities globally.
Wipro caters to healthcare, consumer goods, banking, and manufacturing sectors. It delivers AI tools for customer experience and supply chain insights for consumer goods. Rated a leader in healthcare digital services by ISG in 2025, Wipro supports hundreds of clients with industry-specific innovations.
Wipro supports global outsourcing via AI-powered platforms like Lab45, leveraging GenAI and machine learning for deep learning applications. Its Innovation Network fosters co-innovation across borders. In 2025, Wipro's cloud trends report highlights multi-cloud solutions, aiding enterprises in scalable, sustainable operations worldwide.
Wipro’s core technology portfolio centers on agentic AI, machine learning, cloud infrastructure, and related advanced systems. These technologies underpin its digital engineering and transformation services. At Google Cloud Next 2025, Wipro demonstrated integration of AI agents in customer experiences and data‑driven workflows using large datasets to derive predictive insights.
Wipro integrates AI and cloud through a 2025 partnership with Google Cloud for agentic AI solutions across industries. Its cloud AI tools are claimed to boost productivity with tailored models. This approach is reported to have enabled cost optimization for clients, though specific‑percent savings are not publicly verified.
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