
Fractal Analytics
CLOSEDIPO Date: 9 Feb - 11 Feb 2026
Listing Date: 16 Feb 2026
Price Range
Rs.857 - Rs.900
Issue Size
2834 Cr
Min Investment
₹13,712
Lot Size
16 Shares
Schedule of Fractal Analytics
Issue open date
9 Feb 2026
Issue close date
11 Feb 2026
UPI mandate deadline
11 Feb 2026 (5 PM)
Allotment finalization
12 Feb 2026
Share credit
13 Feb 2026
Listing date
16 Feb 2026
Mandate end date
26 Feb 2026
Issue size
| Funds Raised in the IPO | Amount |
|---|---|
| Overall | 2834 Cr |
| Fresh Issue | 1023.5 Cr |
| Offer for Sale | 1810.4 Cr |
Allotment DetailsNew
| Allotment Timeline | Details |
|---|---|
| Allotment Date | 12 Feb 2026 |
| Allotment Link | {Link} |
Grey Market PremiumNew
Grey Market Premium (GMP) is the premium at which the shares are traded in the grey market. It gives a fair idea about the listing price of the IPO shares. The GMP can be positive or negative based on the demand and supply of the shares in the grey market.
| Date | Ipo Price | GMP | Estimated Listing Price |
|---|---|---|---|
| 15 Feb 2026 | ₹900 | ₹-28 | ₹872 (-3.11%) |
| 14 Feb 2026 | ₹900 | ₹-12 | ₹888 (-1.33%) |
| 13 Feb 2026 | ₹900 | ₹-23 | ₹877 (-2.56%) |
| 10 Feb 2026 | ₹900 | ₹7 | ₹907 (0.78%) |
| 8 Feb 2026 | ₹900 | ₹13 | ₹913 (1.44%) |
| 7 Feb 2026 | ₹900 | ₹29 | ₹929 (3.22%) |
| 6 Feb 2026 | ₹900 | ₹43 | ₹943 (4.78%) |
| 5 Feb 2026 | ₹900 | ₹57 | ₹957 (6.33%) |
| 4 Feb 2026 | ₹900 | ₹105 | ₹1005 (11.67%) |
| 3 Feb 2026 | ₹900 | ₹0 | ₹900 (0%) |
Performance Fractal Analytics
| Issue Price | Listing Gain | Current Market Price | P/L |
|---|---|---|---|
| Rs.857 - Rs.900 | .... | ₹ 793.1 | -11.88% |
About Fractal Analytics
Fractal Analytics is an enterprise artificial intelligence (AI) company that provides data, analytics, and AI-based solutions to large global organisations. Founded in 2000, the company supports enterprises in using data-driven insights for decision-making across business functions. Its operations are organised into two segments: Fractal.ai and Fractal Alpha. Fractal.ai includes AI services and AI products, with products primarily hosted on its agentic AI platform, Cogentiq. These offerings cover customer analytics, operational analytics, product development analytics, sustainability-related analytics, and enterprise decision support. Fractal Alpha comprises independent AI businesses that operate under separate management and serve specific markets and geographies. The company also develops and maintains proprietary AI models and platforms, including foundation models and multi-agent systems, some of which are publicly accessible. Fractal Analytics operates globally, with offices and teams across multiple countries, including India, the United States, the United Kingdom, Canada, Australia, the United Arab Emirates, and Ukraine. Use of proceeds: The IPO consists of both a fresh issue and an offer for sale (OFS). Net proceeds from the OFS will go to the respective selling shareholders, while the net proceeds from the fresh issue will be utilised for the following purposes: Investment in one of its subsidiaries, Fractal USA, for pre-payment and/ or scheduled repayment, in full or in part, of its borrowings— Rs 264.9 crore. Purchase of laptops — Rs 57.1 crore. Setting up new office premises in India — Rs 121.1 crore. Investment in research and development, and sales and marketing under Fractal Alpha — Rs 355.1 crore Funding inorganic growth through unidentified acquisitions and other strategic initiatives, and general corporate purposes.
| Founded in | 2000 |
| Managing director | Mr Rohan Haldea |
| Parent organization |
Financial Overview
Strengths
- Long operating history with over 25 years of enterprise AI expertise.
- Strong relationships with large global enterprises across core industries.
- End-to-end AI capabilities spanning data, analytics, platforms, and products.
- High client retention driven by deep integration into client decision systems.
- Global delivery model supported by skilled talent and scalable platforms.
Risks
- High revenue concentration from a limited number of large clients.
- Significant dependence on the U.S. market for the majority of revenues.
- Rapidly evolving AI regulations may increase compliance costs.
- Past losses and potential future profitability pressures.
- Cybersecurity breaches or AI solution failures could harm reputation and finances.
Subscription Figures
| Category | Subscription (No. of times) |
|---|---|
| Qualified Institutional Buyers (QIBs) | 4.18 |
| Non-Institutional Investors (NIIs) | 1.05 |
| Retail Individual Investors (RIIs) | 1.01 |
| Employee | N/A |
| Total | 2.66 |