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Blogs / IPO Note / Fractal Analytics Limited IPO Review: High-Growth AI Opportunity with Elevated Valuation Risks
By Sushil Finance
07 February 2026 • 8 MINUTES READ
Fractal Analytics

Fractal Analytics Limited IPO Review: High-Growth AI Opportunity with Elevated Valuation Risks

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IPO Details

Issue Opening Date: February 9, 2026
Issue Closing Date: February 11, 2025
Issue Size: Rs. 2,833.90 Cr. (at upper price band of Rs. 900)
Fresh Issue: Rs. 1,023.50 Cr.
Offer For Sale: Rs. 1,810.40 Cr.
Face Value: Rs. 1 per equity share
Price Band: Rs. 857 to Rs. 900 per equity share
Employee Discount: Rs. 85 per equity share
Lot Size: 16 shares and multiples thereafter
Minimum Application Amount: Rs. 14,400 (16 shares)
Maximum Application Amount: Rs. 1,87,200 (208 shares)
Small HNI: Rs. 2,01,600 (224 shares)
Big HNI: Rs. 10,08,000 (1,120 shares)

Company Overview

The Indian primary market continues to attract investor attention with technology-led companies tapping the capital markets. The upcoming IPO of Fractal Analytics Limited, a globally recognized enterprise artificial intelligence (AI) company, offers investors exposure to the fast-growing data, analytics, and AI (DAAI) ecosystem.

With marquee global clients, deep domain expertise, and a strong presence across consumer, BFSI, healthcare, and technology sectors, Fractal Analytics has positioned itself as a key player in enterprise AI decision-making. However, the IPO also comes with elevated valuation expectations and sector-specific risks that investors must carefully evaluate.

This detailed IPO review analyses Fractal Analytics’ business model, financial performance, growth prospects, risks, valuation metrics, and our investment view to help investors make an informed decision.

Incorporated in 2000, Fractal Analytics is a globally recognized enterprise AI company with capabilities across the data, analytics, and AI value chain.

As of September 30, 2025, the company’s AI solutions are organized under two segments:


Fractal.ai – AI services and AI products primarily hosted on Cogentiq
Fractal Alpha – AI businesses

The company works with large global enterprises across the full AI transformation lifecycle. As of September 30, 2025, it served 122 “Must Win Clients” including Citibank, Costco, Franklin Templeton, Mars, Mondelez, Nationwide, Nestle and Philips.

Its industry focus spans Consumer Packaged Goods & Retail, Technology, Media & Telecom, Healthcare & Life Sciences, and Banking, Financial Services & Insurance.

Several AI products such as Kalaido.ai, MarshallGoldsmith.ai and Vaidya.ai are publicly accessible.


Key Highlights

Leading player in a large and growing enterprise AI market
Long-standing relationships with marquee global clients
Strong technical, domain, and functional expertise
Consistent investments in innovation and client-centric solutions

Objects of the Issue

Repayment of borrowings of Fractal USA (Rs. 264.9 Cr.)
Purchase of laptops (Rs. 57.1 Cr.)
Setting up new office premises in India (Rs. 121.1 Cr.)
Investment in R&D and sales & marketing under Fractal Alpha (Rs. 355.1 Cr.)
Funding inorganic growth, acquisitions and general corporate purposes

The Offer for Sale aggregates up to Rs. 18,104 million. The company will not receive any proceeds from the Offer for Sale.


Financial Performance & Valuation

The company’s revenue grew at a CAGR of 18% and PAT at a CAGR of 6.53% between FY23 and FY25. A loss was reported in FY24 due to ESOP-related non-cash expenses.


Adjusted EBITDA Margin (FY25): 17.4%
Adjusted PAT Margin (FY25): 12.6%
Return on Net Worth (FY25): 12.5%

The IPO is valued at a P/BV of 7.76 based on a NAV of Rs. 116 and an implied P/E of approximately 109.12x based on FY26 annualized earnings, indicating aggressive pricing.


Risks to Consider

Cybersecurity threats and data breaches
Client concentration and retention risks
Demand volatility for AI solutions
Revenue concentration from the United States
Negative cash flows in previous years
Regulatory and foreign exchange risks

Our View – Should You Apply?

Fractal Analytics offers investors exposure to a rapidly growing AI and DAAI services segment with a strong global client base.

However, considering the elevated valuation, lack of listed peers, financial volatility, and sector-specific risks, the IPO appears suitable only for investors with a high-risk appetite and a long-term investment horizon.


Frequently Asked Questions (FAQs)

What does Fractal Analytics Limited do?
Fractal Analytics helps enterprises make better decisions using artificial intelligence, data and analytics across industries.

What is the price band and lot size?
The IPO price band is Rs. 857–900 per share with a lot size of 16 shares.

Is Fractal Analytics IPO profitable?
The company reported strong revenue growth, with a loss in FY24 due to ESOP-related expenses and improved profitability in FY25.

Who should invest in this IPO?
The IPO may be considered by investors with a high-risk profile and long-term investment horizon.


Brief Financials

PARTICULARS ₹ in Million
As at
Sep 30, 2025
FY ‘25 FY ‘24 FY ‘23
Total Income 15,943 28,162 22,419 20,437
Total Expenditure 14,462 25,755 22,506 22,252
EBITDA 1,856 3,980 972 4,368
Profit/(Loss) before Tax 988 2,380 (305) 3,134
Profit/(Loss) after Tax 709 2,206 (547) 1,944
E.P.S. (Diluted) 4.09* 13.36 (3.12) 12.42
P/E (x) (Diluted) - 67 - -
RONW (%) 3.6* 12.6 (3.9) 14.5
*Not annualised

PRICE CHART (@ ₹ 900) (Retail Category)

LOT SIZE
Amount
16 14,400
32 28,800
48 43,200
64 57,600
80 72,000
96 86,400
112 100,800
128 115,200
144 129,600
160 144,000
176 158,400
192 172,800
208 187,200

HNI Payment Chart

Category
No. of Shares Minimum Bid Lot Amount (Rs.)
Small HNI 224 201,600
Big HNI 1,120 1,008,000

Indicative Time Table

Tentative Events
Indicative Dates
Finalisation of Basis of Allotment with the Designated Stock Exchange 12/2/2026
Initiation of refunds/unblocking ASBA Fund 13/2/2026
Credit of Equity Shares to demat accounts of Allottees 13/2/2026
Commencement of trading of the Equity Shares on the Stock Exchanges 16/2/2026




Disclaimer:
The content provided in this blog is for informational and educational purposes only and should not be construed as investment, legal, or tax advice. While Sushil Finance makes reasonable efforts to ensure accuracy and reliability of the information, we do not guarantee its completeness or timeliness. Readers are advised to consult with their financial advisor before making any investment decisions. Sushil Finance shall not be held responsible for any direct or indirect loss arising from use of this content. Investments in securities are subject to market risks. Read all scheme-related documents carefully before investing.


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