Fractal Analytics has filed its Draft Red Herring Prospectus (DRHP) with SEBI, marking a significant step toward its proposed Initial Public Offering (IPO). The Fractal Analytics IPO will consist of a fresh issue of shares as well as an offer for sale (OFS) by existing shareholders, enabling the company to raise capital for expansion, acquisitions, and strengthening its technology capabilities. The company aims to raise a total of ₹4900 crores through the IPO
The proceeds from the IPO are expected to be utilized for:
The proceeds from the Fractal analytics IPO are expected to be utilized for:
This IPO signals Fractal’s intent to position itself not just as an Indian analytics company, but as a global decision intelligence leader in the AI-first era.
The global artificial intelligence (AI) and analytics industry has witnessed rapid growth driven by enterprises embracing data-driven decision-making. Organizations are increasingly investing in AI, machine learning, and data science to enhance productivity, optimize operations, and deliver personalized customer experiences.
According to industry reports highlighted in the DRHP, the demand for decision intelligence solutions is expected to accelerate further, with BFSI, healthcare, retail, and technology sectors leading adoption. The Indian IT and analytics service sector is also gaining global prominence, strengthening its role as a key outsourcing hub.
Fractal is positioned as a global provider of AI and analytics solutions, helping very large IT companies that meet one of three criteria: over US$10 billion in annual revenue/ over US$20 billion in market capitalization, or over 30 million end customers harness data for strategic decisions. The company offers a wide spectrum of solutions, including:
With offices across the US, UK, India, Singapore, and other regions, Fractal leverages a diverse talent pool of data scientists, engineers, and domain experts to deliver scalable solutions.
The DRHP outlines several competitive strengths:
Some of the key risks highlighted include:
Dependence on top clients: A large share of revenues comes from a few major customers, posing concentration risk.
Talent acquisition and retention: The high demand for AI and data science professionals could drive attrition and wage inflation.
Regulatory risks: Operating across multiple geographies exposes the company to data privacy, cybersecurity, and compliance frameworks.
Competitive intensity: Both established IT services companies and niche AI startups pose a challenge.
Foreign exchange exposure: Significant revenues come from overseas markets. Any decrease in the demand for services in the United States or other western market will impact the company.
Negative cash inflows in the recent past: The company had losses before exceptional items and tax expense in Fiscals 2024 and 2023. There is no assurance that we will not incur losses in the future as we expand our operations.
Particulars | FY2023 | FY2024 | FY2025 |
---|---|---|---|
Revenue from Operations | 19,85.4 | 21,96.3 | 27,65.4 |
Total Income | 20,43.7 | 22,41.9 | 28,16.2 |
Profit Before Tax | 3,13.4 | (30.5) | 2,38.0 |
Tax Expense | 119 | 24.2 | 17.4 |
Profit / (Loss) After Tax | 194.4 | (54.7) | 2,20.6 |
Cash Flow Statement (₹ in crores)
Particulars | FY2023 | FY2024 | FY2025 |
---|---|---|---|
Profit Before Tax | 3,13.4 | (30.5) | 2,38.0 |
Net Cash from Operating Activities | (30.6) | 1,59.5 | 397.0 |
Net Cash used in Investing Activities | 1,24.9 | (1,50.1) | (1,81.0) |
Net Cash from Financing Activities | (57.4) | (1,45) | (22.4) |
Closing Cash Balance | 2,13.2 | 81.2 | 2,64.9 |
The company’s cash flow trends reveal:
Operating cash flow has remained positive across FY22–FY24, demonstrating strong fundamentals.
Investing cash flows show regular spending on technology, acquisitions, and infrastructure.
Financing cash flows indicate debt servicing and equity funding consistent with growth plans.
This reflects a balanced capital allocation strategy, with a focus on growth, innovation, and shareholder returns.
Fractal’s DRHP highlights its positioning as a leading AI and analytics powerhouse with strong industry tailwinds, a global client base, and consistent financial performance. While risks such as client concentration and competition remain, its differentiated AI-first approach and global execution capabilities make it a significant player to watch in the analytics and decision intelligence space.
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