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Fractal Analytics IPO

Fractal Analytics came to market through an IPO that opened on 9 February 2026 and closed on 11 February 2026, and the shares listed on 16 February 2026 on BSE, NSE. The price band was ₹857 to ₹900 per share and one lot was 16 shares, so the minimum application was ₹14,400. The issue size was ₹2833.9 crore. It combined a fresh issue of new shares with an offer for sale by existing shareholders.

MUFG Intime India Pvt.Ltd was the registrar to the issue, and Kotak Mahindra Capital Co.Ltd, Axis Capital Pvt.Ltd, Morgan Stanley India, Goldman Sachs India were the lead managers.

Issue details

Issue type
Book Built Issue
Price band
₹857 to ₹900
Lot size
16 shares
Minimum investment
₹14,400
Face value
₹1 per share
Issue size
₹2833.9 crore
Fresh issue
1,13,72,222 shares (aggregating up to ₹1023.5 crore)
Offer for sale
2,01,15,555 shares (aggregating up to ₹1810.4 crore)
Listing at
BSE, NSE
Registrar
MUFG Intime India Pvt.Ltd
Lead managers
Kotak Mahindra Capital Co.Ltd, Axis Capital Pvt.Ltd, Morgan Stanley India, Goldman Sachs India
Promoter holding before the issue
18.19%

Timeline

Opens
9 February 2026
Closes
11 February 2026
Allotment
12 February 2026
Listing
16 February 2026

Subscription status by day

As of 11 February 2026.

Day
1
2
3

Listing day and after

Issue price
₹900
Listed on
16 February 2026

About Fractal Analytics

Fractal Analytics, founded in March 2000, is a leading global enterprise AI and analytics company that helps large companies make better decisions. Spanning more than two decades, the company designs AI solutions by mixing deep technical acumen with functional and domain expertise. By March 31, 2025, Fractal's products and services were organized into two main segments: Fractal.ai:

This division offers AI products and services via its agentic AI platform, Cogentiq,;aimed at making product development easier with integrated tools, governance, low-code capabilities, and security. Fractal Alpha: This division contains independent AI companies focused on growth markets, operated independently to drive business innovation across geographies and industries. Together, the two divisions offer a full range of AI capabilities across client businesses and industries.

Fractal's strengths are its position of leadership in a rapidly growing AI market, long-standing collaborations with leading global customers, combined technical and domain knowledge, transparency and trust culture, history of innovation, and founder-driven leadership with a long-term perspective. Fractal has more than 4,500 employees globally as of early 2025, reflecting its expanding presence in 17 offices worldwide.

As described in the offer document.

Objects of the issue

  • Investment in one of our Subsidiaries, Fractal USA, for pre-payment and/ or scheduled repayment, in full or in part, of its borrowings - 264.90 Cr
  • Purchase of laptops - 57.10 Cr
  • Setting-up new office premises in India - 121.10 Cr
  • Investment in (a) research and development; and (b) sales and marketing under Fractal Alpha - 355.10 Cr
  • Funding inorganic growth through unidentified acquisitions and other strategic initiatives, and general corporate purposes

Strengths

  • Leadership in a High-Growth AI Market: The firm is operating in one of the most rapidly growing technology categories in the world. With the growing adoption of AI by enterprises and the increasing dependence on third-party Data, Analytics, and AI (DAAI) service providers, the firm is poised to gain from the long-term growth of the market.
  • Strong Technical Expertise: The firm has strong technical expertise in GenAI, machine vision, algorithmic decision-making, cloud and data engineering, behavioral science, and human-centered design. The firm’s data-centric AI expertise has been rated in the Everest Group’s PEAK Matrix® Assessment 2025.
  • Deep Functional and Domain Expertise: The firm serves clients across several business functions such as sales & marketing, supply chain, finance & accounting, and data & AI. The firm’s ability to leverage solutions across industries with similar value-chain challenges is an added strength that enhances scalability and client relevance.

Risks

  • Cybersecurity and Data Protection Risks: Cybersecurity breaches, cyber-attacks, viruses, or hacking incidents that may affect the company’s systems or those of its clients, cloud service providers, and third-party vendors may result in loss of data, business interruption, reputational damage, litigation, and negative financial impact.
  • Risks in AI Solution Delivery and Implementation: The company’s business is dependent on successful and timely implementation of AI solutions in complex computing environments. Delays, defects, or failure to meet client satisfaction or contractual timelines may result in cost overruns, disputes, loss of business, and negative financial impact.
  • Dependence on Skilled Talent and Key Leadership: The company is heavily dependent on its ability to successfully attract, retain, and develop highly skilled AI and GenAI talent, as well as the continued involvement of the Company’s Promoters and key leadership. Talent shortages, increased employee costs, or loss of key talent may impact growth, profitability, and execution capabilities.

Financials (₹ crore)

Metric30-Sep-2531-Mar-2531-Mar-2431-Mar-23

Fractal Analytics raises Rs 1,248 crore from anchor investors ahead of its Rs 2,834-crore IPO. SBI Small Cap Fund, and Life Insurance Corporation of India were the largest investors for the anchor book, investing Rs 104.99 crore, and Rs 99.99 crore, respectively. Marquee global investors like Morgan Stanley, Amundi Funds, Goldman Sachs, Kuwait Investment Authority, Ashoka WhiteOak, Allspring Global Investments, Societe Generale, Prudent Investment Flexicap Scheme, and Integrated Core Strategies participated in the anchor book.

Out of the overall allocation amounting to 1.38 crore equity shares, 52.77 lakh shares were given to 11 domestic mutual funds such as ICICI Prudential AMC, Motilal Oswal AMC, UTI AMC, Trust MF, Baroda BNP Paribas MF, Bandhan MF, Invesco India, Sundaram MF, Abakkus, and Union MF.

Apart from LIC, the HDFC Life Insurance Company, SBI Life Insurance Company, Bharti Axa Life Insurance Company, and Edelweiss Life Insurance Company also invested in the company through the anchor book mechanism by purchasing shares worth Rs 150.93 crore.

Promoters

Srikanth Velamakanni, Pranay Agrawal, Chetana Kumar, Narendra Kumar Agrawal, Rupa Krishnan Agrawal. Promoter holding 18.19% before the issue.

Application sizes

Retail (min)
1 lot, 16 shares, ₹14,400
Retail(max)
13 lots, 208 shares, ₹1,87,200
sHNI(min)
14 lots, 224 shares, ₹2,01,600
sHNI(max)
69 lots, 1104 shares, ₹9,93,600
bHNI(min)
70 lots, 1120 shares, ₹10,08,000

Valuation

EPS Pre IPO
₹13.74
EPS Post IPO
₹8.25
P/E Pre IPO
65.50
P/E Post IPO
109.12
RoNW
12.60%
PAT Margin
8.00%
Price/Book
8.65
Market Cap
₹2,833.9 cr

Registrar and allotment status

Registrar
MUFG Intime India Pvt.Ltd
Allotment status
https://in.mpms.mufg.com/Initial_Offer/public-issues.html
Phone
+91-22-4918 6270
Email
fractal.ipo@in.mpms.mufg.com

Work out the listing gain for this IPO

How allotment works

If the retail portion is not fully subscribed, every valid application is allotted in full. If it is oversubscribed, SEBI's rules require that as many applicants as possible receive at least one lot, so the shares are allotted by a computerised lottery across all valid applications, one lot each, until the retail portion is exhausted. Applying for more lots does not improve your chance in a lottery; it only increases what you receive if the issue is under-subscribed.

The basis of allotment document, published by the registrar on the allotment date, states the ratio: for example, one applicant in seven received one lot.

Allotment status is published by the registrar on its website, searchable by PAN, application number or demat account, and also on the exchange's website. Allotted shares are credited to the demat account the day before listing, and blocked money for unsuccessful applications is released the same day. The Rupix app can check allotment status by PAN once the registrar publishes it.

What happens on listing day

Shares list within three working days of the issue closing. On listing day the exchanges run a special pre-open session from nine o'clock, during which orders are collected and an opening price is discovered from them; trading in the share begins after that, usually around ten. The opening price is the listing price that appears on this page once the issue has listed, and the listing gain or loss is the difference between it and the issue price.

For a mainboard issue, the share then trades in the normal way with the exchange's price band for a new listing. For an SME issue, shares trade in lots rather than one at a time, and the market can be thin, so selling on listing day is not always possible at the opening price. Capital gains on shares sold within a year of allotment are short-term and taxed at the short-term rate.

Questions about the Fractal Analytics IPO

What is Fractal Analytics IPO?

Fractal Analytics IPO was a ₹2,833.9 crore book-built issue, comprising a fresh issue of ₹1,023.5 crore and an offer for sale of ₹1,810.4 crore. It was priced at ₹857–₹900 per share with a lot size of 16 shares (₹14,400). The IPO was open from February 9 to February 11, 2026 and was subscribed 2.81x. Shares listed on BSE and NSE on February 16, 2026 at ₹876, a 2.7% discount to the issue price of ₹900. MUFG Intime India Pvt. Ltd.

is the registrar. Kotak Mahindra Capital Co.Ltd and 3 other book running lead managers manage the issue.

What is the price band of Fractal Analytics IPO?

The price band of Fractal Analytics IPO is ₹857 to ₹900 per share.

What is the lot size of Fractal Analytics IPO?

The lot size of Fractal Analytics IPO is 16 shares.

What is the minimum investment for Fractal Analytics IPO?

The minimum investment for Fractal Analytics IPO is approximately ₹14,400 based on the upper price band.

What is the allotment date of Fractal Analytics IPO?

The allotment date of Fractal Analytics IPO is Feb 12, 2026.

How has Fractal Analytics IPO share price performed since listing?

Fractal Analytics IPO listed on Feb 16, 2026. It was issued at ₹876.0(NSE) and is currently around ₹744.00 as on 2-Nov-2026 3:30 PM, which is approximately -17.3% versus issue price. The 52-week high is ₹1,118.00.

How to check Fractal Analytics IPO allotment status?

You can check Fractal Analytics IPO allotment status on the registrar or stock exchange websites using your PAN or application number after allotment. You can also check the Fractal Analytics IPO allotment status on Rupix for quick and easy access.

What was the price band of the Fractal Analytics IPO?

₹857 to ₹900 per share, against a face value of ₹1. Most applicants bid at the cut-off price, the top of the band, so that the application was valid whatever price the issuer finally fixed.

What was the lot size of the Fractal Analytics IPO?

One lot was 16 shares, and every application had to be a whole number of lots. At the top of the band that made the minimum application ₹14,400.

What was the minimum investment in the Fractal Analytics IPO?

₹14,400, for one lot of 16 shares at the top of the price band. The amount was blocked in the applicant's bank account through ASBA or a UPI mandate while the issue was open, and released on the allotment date to applicants who were not allotted shares.

When did the Fractal Analytics IPO open and close?

It opened on 9 February 2026 and closed on 11 February 2026.

When was the allotment of the Fractal Analytics IPO?

The basis of allotment was published on 12 February 2026 by MUFG Intime India Pvt.Ltd, and allotted shares were credited to demat accounts before listing.

When did Fractal Analytics list on BSE, NSE?

The shares listed on 16 February 2026 on BSE, NSE.

How large was the Fractal Analytics IPO?

The issue size was ₹2833.9 crore. The fresh issue was 1,13,72,222 shares (aggregating up to ₹1023.5 crore). The offer for sale was 2,01,15,555 shares (aggregating up to ₹1810.4 crore).