The Brains Behind the Machine: A Deep Dive into the Fractal Analytics IPO
- Admin
- 5 hours ago
- 3 min read

As of February 10, 2026, the Indian IPO market is witnessing a historic moment. Fractal Analytics, the country’s first "pure-play" AI and Decision Intelligence unicorn, is currently in the middle of its three-day subscription window.
While the buzz around Artificial Intelligence has been deafening for years, Fractal represents the first chance for Indian public market investors to bet on a company that doesn't just use AI but builds the enterprise-grade engines behind it. With the IPO closing tomorrow, February 11, here is the "intelligent" breakdown you need.
Fractal Analytics: The Business of Smarter Decisions
Founded in 2000, Fractal is a 25-year-old "startup" that has evolved from simple data crunching to advanced Generative AI and Decision Intelligence. They operate under a unique "dual-engine" model:
Fractal.ai: The services arm that helps Fortune 500 giants (like Google, Wells Fargo, and P&G) integrate AI into their daily operations.
Fractal Alpha: An internal "incubator" for AI-led SaaS products like Asper.ai (for retail) and Senseforth.ai (for conversational AI).
IPO Details: Key Metrics to Watch
Fractal has strategically "left money on the table" by reducing its initial issue size and valuation to attract long-term investors in a volatile global tech environment.
Detail | Information |
IPO Dates | February 9, 2026 – February 11, 2026 |
Price Band | ₹857 – ₹900 per share |
Lot Size | 16 Equity Shares |
Min. Retail Investment | ₹14,400 |
Issue Size | ₹2,834 Crore |
Post-Issue M-Cap | ~₹15,474 Crore |
Listing Date (Exp.) | February 16, 2026 |
Financial Performance: The Profitability Pivot
Fractal’s financials tell a story of aggressive growth followed by a successful push for "sustainable economics."
Revenue Growth: Scaled from ₹1,985 Cr in FY23 to ₹2,765 Cr in FY25 (an 18% CAGR).
Turnaround: After a loss of ₹55 Cr in FY24, the company posted a solid net profit of ₹221 Cr in FY25.
Global Footprint: Over 90% of revenue comes from international markets, with the US alone accounting for ~65%.
Customer Stickiness: They boast a Net Revenue Retention (NRR) rate of 121%, meaning existing clients are spending 21% more with them every year.
Risks & Realities: The "Fine Print"
No AI model is perfect, and Fractal's investment case has some "hallucinations" you should be aware of:
Valuation Premium: At the upper band, the stock is priced at a P/E (Price-to-Earnings) ratio of approximately 79x (FY25). This is steep compared to traditional IT services (like TCS or Infosys), though Fractal argues it should be valued as a tech-product hybrid.
Attrition Headwinds: The company reported a relatively high employee attrition rate of 16.3% in FY25. In the "War for AI Talent," keeping data scientists is a constant (and expensive) battle.
Grey Market "Crash": Early sentiment was ecstatic, with GMP (Grey Market Premium) hitting ₹200+. However, as of today, the GMP has cooled significantly to ~₹8–₹35, suggesting a very muted or "flat" listing.
The Verdict: Should You Subscribe?
The Bull Case:
Fractal is a category creator. If you believe AI is the "new electricity," this is the utility company. Their deep relationships with 120+ "Must-Win Clients" and a debt-free balance sheet post-IPO provide a strong foundation.
The Bear Case:
The current market sentiment for high-valuation tech is cautious. The low subscription numbers (around 14% on Day 2) and the sliding GMP indicate that investors are wary of the 79x P/E multiple.
Final Recommendation: Subscribe for the Long Term (3+ years), but skip it if you are looking for listing gains. Fractal is a quality business, but the "IPO pop" might be missing. If you apply, do so because you want a piece of India's AI future, not for a quick buck on Monday morning.
(NOTE: This Post is only for informational purposes and not to be considered as any advice for investment in any stock or other entity. AI has been used in drafting this post. Financial and investment advice should be tailored to your situation — consider consulting a licensed financial advisor before investing.)




