Fractal has reported its first quarterly earnings after listing on the stock exchanges, posting strong growth in both revenue and profitability for the fourth quarter of FY26.
The AI and advanced analytics firm recorded a 17% year-on-year increase in operating revenue, which rose to ₹886.3 crore in Q4 FY26 from ₹757.5 crore in the corresponding quarter last year, according to disclosures filed with the National Stock Exchange of India (NSE).
For the full fiscal year, Fractal’s revenue grew to ₹3,363 crore in FY26, compared to ₹2,816 crore in FY25.
On the cost front, employee benefit expenses continued to remain the company’s largest expenditure head, accounting for nearly 75% of total expenses. Employee related costs increased 8.6% year-on-year to ₹570 crore during the quarter.
Including depreciation, finance costs, and other operational expenses, the company’s total expenditure rose 12% to ₹755.6 crore in Q4 FY26, up from ₹674.6 crore in the year-ago period.
As revenue growth outpaced the rise in expenses, Fractal’s profitability improved sharply. The company’s net profit surged 109% year-on-year to ₹116 crore in Q4 FY26, compared to ₹55.5 crore in Q4 FY25.
For the complete financial year, profit increased 30% to ₹286.8 crore.
Founded in 2000, Fractal operates in the artificial intelligence and advanced analytics space, offering enterprise AI solutions, consulting services, and platform based products. The company generates revenue from analytics services as well as licensing and subscription income through platforms such as Cogentiq, Iqigai, and Kalaido.ai.
Fractal made its stock market debut earlier this year and had raised ₹2,834 crore through its IPO, which included a mix of fresh issue and offer-for-sale components backed by investors including Apax Partners and TPG Capital.
As of the latest trading session, Fractal’s shares were trading at ₹1,064.65, taking the company’s market capitalization to approximately ₹18,443 crore.
The results reflect growing enterprise demand for AI, analytics, and automation solutions as businesses continue to increase investments in digital transformation and data driven decision making.