Tech Mahindra on Saturday reported that its consolidated profit after tax came in at Rs 1,250 crore for the July-September quarter ending on 30th September. With this, the IT and digital solutions leader reflected an increase of 153.1 percent over the year-ago period and 46.8 percent over the previous quarter. The company posted revenues of Rs 13,313 crore for the quarter of fiscal year 2025, after growing by 2.4 percent quarter-on-quarter and 3.5 percent from the corresponding period last year.
As of the end of the quarter, Tech Mahindra’s headcount totaled 154,273, up by 6,653 employees from the previous quarter and 3,669 more than the same period last year. The company reported cash and cash equivalents of Rs 6,566 crore. In keeping with its financial performance, Tech Mahindra declared an interim dividend of Rs 15 per share.
Chief Executive Officer and Managing Director Mohit Joshi said on the company’s performance: “We continue to progress on our strategic improvement efforts even as the overall IT services industry has remained soft. We have focused on strengthening client relationships and expanding the partner ecosystem while maintaining a sharp focus on operational excellence through project Fortius, which has resulted in an expansion of margins for the third sequential quarter.”
In the reporting quarter, Tech Mahindra announced a strategic partnership towards the adoption of generative AI and leading digital transformation programs across Mahindra’s diversified sectors. Rohit Anand, the Chief Financial Officer of Tech Mahindra, noted that the company has been doing well on its parameters of increased deals won, revenue growth, cost optimization, and steady free cash flow generation while working toward goals set for FY27.
“In line with our capital allocation policy, the board has announced an interim dividend of Rs 15 per share,” Anand said. Besides, the company has launched ‘TechM VerifAI’, a solution to authenticate and validate AI and Gen AI projects. Through this innovative solution, the IT major is planning to assist clients in validating the end-to-end lifecycle of AI-based initiatives, thereby ensuring that they scale AI efforts effectively and efficiently.
