By Editor , 4 November 2026
Fractal Q2 Net Income Jumps 139% as Revenue Climbs 20%
Fractal Q2 Net Income Jumps 139% as Revenue Climbs 20%

New York – November 04, 2026 -- Fractal Analytics Ltd reported Q2 FY27 net income of INR 792 million, up 139% year on year, as consolidated operating revenue rose 20% to INR 9,565 million for the quarter ended September 30, 2026.

In constant currency terms, revenue growth was 10% year on year. Adjusted EBITDA margin expanded by 123 basis points to 16%, and the company said margins improved at all levels.

Healthcare and life sciences revenue surges 79% year on year

Healthcare and Life Sciences (HLS) led growth at 79%. Banking, Financial Services and Insurance (BFSI) grew 30%, and Fractal said both verticals have delivered strong, sustained growth over several quarters.

Consumer Packaged Goods and Retail (CPGR), the company's largest vertical, grew 11% year on year. TMT posted a 6% sequential increase after what Fractal described as a strong recovery.

Product revenue run-rate tops INR 1,500 million, up 39%

Fractal's products, including the Cogentiq agentic AI platform, reached an annual revenue run-rate above INR 1,500 million. That is 39% higher than a year earlier.

Cogentiq is the platform behind all three of the company's strategic pillars: AIT, AIF and AIW.

Net revenue retention reaches 115% as clients expand spending

Net Revenue Retention stood at 115% in Q2, meaning existing clients collectively increased their spending. Fractal's Net Promoter Score for the period was 76.

The company invests more than 6% of its revenue in AI research and development. Its research team builds proprietary models, including the Fathom reasoning models.

CEO says revenue passed $100 million in the quarter

Co-founder and Group CEO Srikanth Velamakanni said that "revenue crossed $100 million and net income more than doubled." He added that Fractal is building for a point within the next few quarters at which leaving key corporate decisions unchanged becomes risky for companies, given the pace of AI model improvement.

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