Fractal Analytics IPO

IPO Details
Bidding Date Feb 9, 2026	IPO Price Range ₹857 to ₹900 per share	IPO Size ₹2834 Cr
Listing Exchange BSE, NSE	Listing Date Feb 16, 2026	Lot Size 16 Shares

Minimum Investment
₹14400/16shares

IPO Timeline

Open DateFeb 9, 2026

Close DateFeb 11, 2026

Allotment FinalisationFeb 12, 2026

Demat TransferFeb 13, 2026

Refund InitiationFeb 13, 2026

ListingFeb 16, 2026

About Fractal Analytics IPO

Founded in 2000, Fractal Analytics is a globally recognized artificial intelligence organization with a vision to power human decision-making across client enterprises through AI. It supports large global enterprises with data-driven insights and enhances decision-making through end-to-end AI solutions. Its AI offerings are built by leveraging deep technical, domain, and functional capabilities developed over more than 25 years of operations. As of March 31, 2025, the company’s full suite of AI solutions is organized into two segments: Fractal.ai, which comprises AI services and AI products primarily hosted on Cogentiq, and Fractal Alpha, which comprises AI businesses. Through these two segments, the company addresses diverse business needs of clients across industries and business functions. The company works with large global enterprise clients to support them across the entire lifecycle of AI transformation, from ideation through adoption, enabling AI-driven decision-making within the enterprise.

Fractal Analytics IPO Subscription Status

Date	QIB	NII	Retail	Total
TBA	0	0	0	0
TBA	0	0	0	0

Fractal Analytics IPO Financial Status

Particulars (in Rs. Crores)	30 Sep 2025	31 Mar 2025	31 Mar 2024	31 Mar 2023
Assets	2,965.40	2,857.60	2,392.00	2,248.70
Total Income	1,594.30	2,816.20	2,241.90	2,043.70
Profit After Tax	70.90	220.60	-54.70	194.40
EBITDA	185.60	398.00	97.20	436.80
Net Worth	1,957.50	1,748.30	1,397.00	1,339.20
Reserves and Surplus	1,937.10	1,728.70	1,380.50	1,323.10
Total Borrowing	274.60	266.20	250.10	325.60

Fractal Analytics IPO SWOT Analysis

Strengths

Leading player in a large and rapidly growing artificial intelligence market.
Long-standing and expanding relationships with marquee global clients, contributing to a diversified and stable revenue base.
Deep and integrated technical, domain, and functional expertise across multiple industries.
Proven track record of continuous innovation and strategic investments to deliver long-term value for clients.

Weaknesses

The company depends heavily on key client relationships for its financial performance, and the loss of any major client could adversely impact revenues.
Cybersecurity incidents or data breaches could materially harm the company’s business operations, financial performance, and reputation.
High concentration of revenue from the U.S. market and global operations expose the company to operational, regulatory, and financial risks.
The company’s long-term success depends on its ability to continuously adapt to rapid market changes and evolving technologies.