Enterprise AI-native firm Fractal Analytics announced its third-quarter results for FY26, the first after its listing. The company’s net profit for the period was ₹102.6 crore, up 10.5 per cent from ₹92.8 crore in the same quarter last year.
Revenue for the quarter grew 21 per cent year-on-year to ₹854.4 crore. Growth was led by demand in the healthcare and life sciences segment (20 per cent of revenue), which grew 78 per cent year-on-year, and the banking and financial services segment (12 per cent of revenue), which grew 26 per cent year-on-year.
On a sequential basis, profit was up almost three times from ₹39 crore. Revenue grew 7 per cent compared to the quarter ended September 30, 2025.
Srikanth Velamakanni, Group CEO and Executive Vice-Chairman, said: “We delivered a great quarter, improving across nearly every metric. Our best-in-class organic growth, gross margins and high client retention reflect the strength of our enterprise AI capabilities and the trust our clients place in us. We have built a disciplined, high-performance organisation focused on solving complex enterprise problems with AI.”
The number of clients who generate revenues upwards of $20 million increased by two year-on-year to six clients. The number of clients who generate more than $1 million went up by eight year-on-year to 58 clients, said the company.
The company reported a gross margin of 47.2 per cent, an expansion of 0.2 per cent year-on-year. Adjusted EBITDA outperformed revenue growth, clocking 24 per cent growth year-on-year to ₹152.1 crore. Adjusted EBITDA margin was 17.8 per cent, an expansion of 0.4 per cent year-on-year.
The company’s consumer-targeted AI-based health assistant, Vaidya.ai 2.0, became the first AI model to achieve a 50+ score on OpenAI’s HealthBench (Hard), one of the toughest healthcare benchmarks that measure advanced clinical reasoning across complex diagnostic scenarios, outperforming ChatGPT-5, GPT-5.2 and Gemini Pro 3, said the company.
PiEvolve, an evolutionary agentic engine designed for autonomous machine learning and scientific discovery, was ranked among the top-performing agents on OpenAI’s MLE-Bench, outperforming agents from leading AI research labs, including Google, Microsoft and Meta.
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