Fractal Analytics Crosses $100 Million Quarterly Revenue as Net Profit Climbs 139%

Fractal Analytics has crossed $100 million in quarterly revenue for the first time, reporting a 20% year-on-year increase in operating revenue for the second quarter of FY27. The enterprise artificial intelligence company also recorded a 139% rise in net income during the quarter ended September 30, 2026.

Revenue from operations stood at ₹956.5 crore, compared with ₹799 crore in the corresponding quarter of the previous financial year. On a constant-currency basis, revenue increased 10% year-on-year. Revenue was also up 4.8% from ₹913 crore in the June quarter.

Net income increased to ₹79.2 crore from ₹33.2 crore a year earlier. Adjusted EBITDA margin expanded by 123 basis points year-on-year to 16%, while adjusted EBITDA grew 71%.

The company’s healthcare and life sciences business led revenue growth, increasing 79% year-on-year. Its banking, financial services and insurance (BFSI) segment recorded 30% growth during the quarter.

Fractal’s consumer packaged goods and retail business, its largest industry vertical, grew 11% year-on-year. The technology, media and telecommunications segment recorded a sequential recovery, with revenue increasing 6% quarter-on-quarter.

The company’s products business, which includes its Cogentiq agentic AI platform, reached an annual revenue run-rate of more than ₹150 crore, representing 39% year-on-year growth. The products business accounted for around 4% of the company’s revenue.

Fractal also reported a net revenue retention rate of 115% in the September quarter, indicating increased spending by existing clients. Its Net Promoter Score stood at 76.

Commenting on the performance, Co-founder and Group CEO Srikanth Velamakanni said that the company’s quarterly revenue had crossed the $100 million threshold and net income had more than doubled.

The results reflect growth across Fractal’s major industry segments, alongside an increase in revenue from its AI products and platforms. The company continues to focus on developing AI models, enterprise platforms and products for large organisations.

 

 

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