For the quarter ended December 31, 2025, Wipro Limited reported steady revenue growth. However, profit declined due to one-time labour related charges.
The IT giant posted revenue of ₹23,555 crore in Q3. This marked a 5.5% year on year increase from ₹22,318 crore in the same quarter last year. Revenue also rose sequentially by about 4% from ₹22,697 crore reported in Q2FY26. It indicates a modest recovery in business momentum.
Net profit for the quarter fell to ₹3,119 crore from ₹3,358 crore a year earlier, a 7.11% decline. It fell short of analyst expectations. It reported a one-time charge of ₹300 crore linked to the implementation of India’s new labour codes.
The quarter highlights Wipro’s ability to deliver incremental revenue growth and outperform market sales expectations, even as profitability was weighed down by regulatory costs and a challenging demand environment.
For Q3, Wipro’s peers, including TCS, Infosys and HCLTech, also reported a profit decline because of ongoing labour code impacts.
CEO and managing director Srini Pallia at Wipro said the company witnessed an increase in the adoption of its AI-led offerings. He said Wipro Intelligence is emerging as a differentiator and contributed to several deal wins during the quarter. The tech giant scaled AI-led delivery through internal platforms, including WINGS and WEGA.
Wipro expanded its global innovation network to support AI-driven execution.
CFO Aparna Iyer said the margin expansion reflected sustained focus on execution rigour. She highlighted the strong cash generation during the quarter and said the board declared an interim dividend of ₹6 per share, taking the total payout for the year to $1.3 billion.
The company’s voluntary employee attrition stood at 14.2% on a trailing 12-month basis. It remains stable compared to the higher churn levels seen over the last few quarters.
Looking ahead, Wipro offered a cautious outlook for the March quarter. The company’s growth guidance was pegged at 0% to 2.0% on a constant-currency basis. The guidance reflects ongoing uncertainty in client spending, even as interest in AI-led transformation continues to grow.
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