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Results · AI & Deep Tech

Fractal Analytics reports strong Q4 FY26 results

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Date
Company
Fractal Analytics
What it does
Enterprise AI solutions and consulting
Kind
Results
Amount
₹115.8 Cr
Stage
public
Founded
2000
Sector
AI & Deep Tech

What they do

Fractal Analytics provides enterprise AI solutions and consulting services

What happened

Q4 FY26 revenue was ₹886.3 Cr, net profit ₹115.8 Cr, up ~109% YoY

Why it matters

The company plans to increase R&D spending to 10% of revenue

The details

  • Fractal Analytics announced its Q4 FY26 results on 11 May 2026.
  • Revenue for the quarter was ₹886.3 Cr, up 17% year-on-year from ₹757.5 Cr.
  • Net profit was ₹115.8 Cr, up ~109% from ₹55.5 Cr in Q4 FY25.
  • Full-year FY26 revenue was ₹3,299.7 Cr (one source says ₹3,363 Cr), up 19.3% YoY.
  • Full-year net profit was ₹286.8 Cr, up 30% YoY.
  • The company restructured around enterprise AI in May 2026 and appointed three new AI chiefs.
  • Stock hit an all-time high of ₹1,119.6 on BSE on 12 May 2026.

The bigger picture

  • The results show strong growth in healthcare & life sciences (82% YoY in Q4) and BFSI (42% YoY).
  • The TMT segment declined 19% YoY in Q4 due to client-specific issues.
  • The company plans to increase R&D spending to 10% of revenue, focusing on foundational models and agentic AI.
  • Management expects margin growth from shift to output/outcome-driven models and license-driven models.

About the business

  • Fractal Analytics provides enterprise AI solutions and consulting services.
  • It offers AI platforms including Cogentiq, Iqigai, and Kalaido.ai.
  • Clients include Google and Wells Fargo.
  • The company helps global organizations transform critical business functions through AI-led transformation.
  • Revenue per billable FTE in Q4 FY26 was $85,000, up 5% YoY.
  • Net revenue retention rate was 112% and net promoter score was 81.
  • The company has 6 clients with over $20M revenue and 59 clients with over $1M revenue.

What happens next

  • Plan to increase R&D spending to 10% of revenue from current 6.5%.
  • Focus areas include foundational models, agentic AI platforms, and enterprise AI transformation tools.
  • Priority to maintain profitability while growing, not to sacrifice margins for AI reinvestment.
  • Expect significant margin growth from shift to output/outcome-driven models and license-driven models.

The deal

Type
results

Founders

  • Srikanth Velamakanni, Cofounder & Group CEO

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