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Fractal Analytics (FRACTAL) investor relations material
Fractal Analytics Q3 25/26 earnings summary
Complete event summary combining all related documents: earnings call transcript, report, and slide presentation.Executive summary
Achieved 21% year-over-year revenue growth in Q3 FY2026 to INR 8,544 million, with profit after tax up 10% to INR 1,001 million, driven by strong client expansion and new client additions.
Net Revenue Retention (NRR) at 114% and Net Promoter Score (NPS) at 77, reflecting robust client satisfaction and retention.
Expanded relationships with existing clients, secured preferred supplier status with two Magnificent Seven clients, and won Microsoft Partner of the Year 2025 in retail and consumer goods.
Healthcare became the fastest-growing vertical with 78% year-over-year growth, and continued heavy investment in AI R&D, launching new products like Vaidya 2.0 and PiEvolve.
Completed IPO in February 2026, raising INR 10,235 million via fresh issue and INR 18,104 million via offer for sale.
Financial highlights
Q3 2026 revenue from operations was INR 8,544 million, up 21% year-over-year and 7% sequentially; profit after tax for Q3 was INR 1,001 million (11.7% margin), up from INR 922 million last year.
Gross margin reached 47.2%, with adjusted EBITDA at 17.8% for Q3 2026; EBITDA for the quarter was INR 1,285 million, up from INR 884 million last year.
Cash from operations in Q3 was INR 1,294 million, up 16% year-over-year; days sales outstanding reduced by 14 days to 78.
Revenue per billable headcount rose to $85,000 (INR 7.4 million), up 6% in rupee terms.
Fractal Alpha segment revenue up 51% year-over-year for nine months, with losses reduced to INR 10 crores and 276 bps gross margin expansion.
Outlook and guidance
Management targets historical CAGR of ~30% and aims to capture growth in the $593 billion enterprise AI market.
Expects continued expansion of gross, EBITDA, and PAT margins as AI adoption increases and ESOP charges decline.
Anticipates further improvements in SG&A efficiency through internal AI tools and ongoing R&D investment.
The group continues to monitor the impact of new Labour Codes and regulatory changes on employee benefit liabilities.
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