Fractal Industries IPO Receives 1.65x Subscription with Strong QIB Response

Fractal Industries' initial public offering has concluded with a total subscription of 1.65x, reflecting varied investor interest across different categories. The subscription pattern reveals strong institutional participation while retail and high net worth individual segments showed more cautious response. Subscription Performance Across Categories The IPO witnessed significant variation in subscription levels across different investor segments: Investor Category Subscription Level Qualified Institutional Buyers (QIB) 4.85x Non-Institutional Buyers (bHNI) 0.81x Non-Institutional Buyers (sHNI) 0.50x Retail Investors 0.22x Employee Quota 0x Total Subscription 1.65x Institutional Interest Drives Overall Performance The QIB segment emerged as the primary driver of the IPO's subscription, achieving 4.85x oversubscription. This strong institutional interest indicates confidence among qualified institutional investors in the company's business prospects and valuation. Mixed Response from Other Segments The retail investor segment recorded subdued participation with only 0.22x subscription, suggesting limited appetite among individual investors. The Non-Institutional Buyers categories showed varied results, with bHNI achieving 0.81x subscription while sHNI recorded 0.50x subscription. Notably, the employee quota remained unsubscribed at 0x. Overall Market Reception Despite the strong institutional backing, the overall subscription of 1.65x reflects a moderate market reception for Fractal Industries' public offering. The significant disparity between institutional and retail participation highlights the varying risk appetite and investment perspectives across different investor categories in the current market environment. Fractal Analytics Limited, India's leading pure-play enterprise artificial intelligence company, has announced its Initial Public Offering (IPO) to raise ₹798.20 crores through a fresh issue. Founded in 2000 with over 25 years of operating history, the company provides end-to-end AI solutions to large global enterprises across diverse industries and business functions. The company operates through two main segments: Fractal.ai comprising AI services and AI products primarily hosted on Cogentiq, and Fractal Alpha comprising AI businesses. Financial Performance and Recovery Fractal Analytics demonstrated a remarkable financial turnaround in FY25, showcasing significant recovery from the previous year's challenges. The company's revenue performance reflects consistent growth momentum, significantly outpacing the global DAAI market's growth rate. Financial Metric: FY2023 FY2024 FY2025 Growth (FY24-25) Revenue from Operations: ₹1,985.40 cr ₹2,196.30 cr ₹2,765.40 cr 25.90% Total Revenue: ₹2,043.70 cr ₹2,241.90 cr ₹2,816.20 cr 25.62% Net Profit: ₹194.40 cr -₹54.70 cr ₹220.60 cr - Net Margin: 9.51% -2.44% 7.84% - The company achieved an impressive 18.00% revenue CAGR from FY2023 to FY2025, substantially outperforming the global DAAI market's 11.00% CAGR. More notably, the company achieved a complete turnaround in profitability, recovering from a net loss of ₹54.70 crores in FY24 to a robust net profit of ₹220.60 crores in FY25. The company maintained strong operating cash flow of ₹397.00 crores in FY25, demonstrating excellent cash generation capabilities. IPO Structure and Strategic Fund Utilization The IPO comprises entirely of a fresh issue worth ₹798.20 crores, with no offer for sale component. The company has outlined specific utilization plans for the raised capital across strategic growth initiatives and operational expansion. Purpose: Amount Percentage Investment in Fractal USA for debt repayment: ₹264.90 cr 33.19% Investment in R&D and sales & marketing under Fractal Alpha: ₹355.10 cr 44.49% Setting-up new office premises in India: ₹121.10 cr 15.17% Purchase of laptops: ₹57.10 cr 7.15% The largest allocation of 44.49% will support R&D activities and sales & marketing initiatives under the Fractal Alpha segment, reflecting the company's commitment to innovation and market expansion. The debt repayment component will strengthen the balance sheet, while new office premises across Bengaluru, Gurugram, Pune and Noida will support geographical expansion and talent acquisition. Market Leadership and Premium Client Portfolio Fractal Analytics has established itself as a market leader in the enterprise AI space, serving a prestigious client portfolio of 113 Must Win Clients. The company works with marquee global enterprises including Citi, Costco, Franklin Templeton, Mars, Mondelez, Nationwide, Nestle, and Philips. The top ten clients have maintained relationships with the company for an average of over eight years, contributing 53.80% of total revenue, demonstrating exceptional client loyalty and a recurring business model. The company's dominant market positioning is further strengthened by its industry presence, working with 10 of the 20 largest CPG companies and 8 of the 20 largest TMT companies globally based on revenue. Revenue concentration spans four key industries: CPGR contributing 39.30%, TMT at 29.90%, HLS at 13.80%, and BFSI at 11.00%. Geographically, 65.20% of revenue originates from the United States market, with over 90% of total revenue generated in foreign currencies. Innovation Excellence and Technology Leadership Fractal Analytics maintains an unwavering focus on research and development, investing ₹1,436 million in FY25, representing 5.20% of revenue. This substantial investment has resulted in a robust intellectual property portfolio comprising 24 patents and 41 patent applications. The company's technical capabilities span the entire DAAI (Data, Analytics, and AI) value chain, including Gen AI, machine vision, algorithmic decision making, cloud and data engineering. Key Metrics: Details R&D Investment (FY25): ₹1,436 million (5.20% of revenue) Patents Granted: 24 Patent Applications: 41 Employee Benefits: 72.50% of revenue Attrition Rate: 16.30% The company's commitment to organizational excellence is reflected in its consistent recognition as a 'Great Place to Work' for eight consecutive years from 2018 to 2025 across seven countries, with a 4.40/5 Glassdoor rating. The leadership team, led by founders with over 25 years of experience, maintains an average tenure of over 12 years, ensuring stability and continuity in strategic direction. Risk Considerations and Investment Outlook Despite strong fundamentals, Fractal Analytics faces several risk factors that potential investors should consider. The company experienced a cybersecurity incident in June 2020 involving a ransomware attack that resulted in client contract termination, highlighting ongoing cybersecurity vulnerabilities. Client concentration risk remains significant, with 53.80% of revenue from the top ten clients and one client contributing 9.80% of revenue in FY25. Geographic concentration presents another concern, with 65.20% of revenue from the United States creating exposure to regulatory changes and foreign exchange fluctuations. The company generates over 90% of revenue in foreign currencies, creating substantial currency risk. Additionally, employee benefits represent 72.50% of revenue, reflecting the talent-intensive nature of the business, while the company maintains a 16.30% attrition rate in a competitive market for AI professionals. The rapid evolution of AI technology and potential disruption from Artificial General Intelligence (AGI) could also impact existing solutions and business models. We’re building Scanx - to help you express your trading & investing idea, to help you analyse the markets better. Stock Markets are the true indicator of the growth of any country's economy. We are bullish on India, we are bullish on India's prospects to be one of largest economies of the world. We believe that Stock Markets provide an unique opportunity for all Indians to participate in the growth story of India. We are enabling the same for Indians. As financial services are becoming more accessible, there is now a large set of Indians today who are financially aware and literate. 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