Major Estimate Revision • Jul 30
Consensus EPS estimates fall by 25% The consensus outlook for earnings per share (EPS) in fiscal year 2027 has deteriorated. 2027 revenue forecast decreased from ₹40.3b to ₹38.9b. EPS estimate also fell from ₹25.42 per share to ₹19.18 per share. Net income forecast to grow 24% next year vs 29% growth forecast for Software industry in India. Consensus price target down from ₹1,021 to ₹939. Share price fell 10% to ₹772 over the past week. New Risk • Jul 24
New minor risk - Share price stability The company's share price has been volatile over the past 3 months. It is more volatile than 75% of Indian stocks, typically moving 7.6% a week. This is considered a minor risk. Share price volatility indicates the stock is highly sensitive to market conditions or economic conditions rather than being sensitive to its own business performance, which may also be inconsistent. It also increases the risk of potential losses in the short term as the stock tends to have larger drops in price more frequently than other stocks. This is currently the only risk that has been identified for the company. Reported Earnings • Jul 24
First quarter 2027 earnings: EPS and revenues miss analyst expectations First quarter 2027 results: EPS: ₹4.31 (up from ₹2.28 in 1Q 2026). Revenue: ₹9.32b (up 20% from 1Q 2026). Net income: ₹742.0m (up 107% from 1Q 2026). Profit margin: 8.0% (up from 4.6% in 1Q 2026). The increase in margin was driven by higher revenue. Revenue missed analyst estimates by 2.6%. Earnings per share (EPS) also missed analyst estimates by 41%. Revenue is forecast to grow 16% p.a. on average during the next 3 years, compared to a 10% growth forecast for the Software industry in India. Tillkännagivande • Jun 27
Fractal Analytics Ltd Appoints Leandro Dallemule as Chief Practice Officer, Financial Services & Insurance Fractal Analytics Ltd. has announced the appointment of Leandro DalleMule as Chief Practice Officer (CPO), Financial Services & Insurance (FSI). He was responsible for the FSI practice globally, driving strategy, client success, industry innovation and AI-led transformation for financial institutions and insurers. Leandro also played a key role in expanding Fractal's capabilities, strengthening strategic partnerships, and helping clients unlock tangible business value through AI. Leandro was a seasoned AI, data, and analytics leader and brought with him more than 30 years of experience helping organizations drive business outcomes through data, analytics, and AI. Before joining Fractal, he was a Managing Director in Deloitte's FSI AI & Data practice. Prior to his tenure at Deloitte, he spent more than 20 years in senior executive roles at AIG, Citibank, BlackRock, and Planck, where he built and led a leading AI platform for insurance through its acquisition by Applied Systems in 2024. Leandro was an MBA graduate from the Kellogg School of Management at Northwestern University. He also held a professional certificate in Applied Mathematics from Columbia University, and a degree in Mechanical Engineering from the University of São Paulo, Brazil. Tillkännagivande • Jun 26
Fractal Analytics Limited to Report Q1, 2027 Results on Jul 23, 2026 Fractal Analytics Limited announced that they will report Q1, 2027 results on Jul 23, 2026 Tillkännagivande • Jun 13
Fractal Launches Cogentiq E-Commerce AI-Native Always On E-Commerce Profit Engine Fractal announced the launch of Cogentiq e-commerce, an AI-native Always on E-Commerce Profit Engine that helps consumer products companies stay competitive across e-commerce channels like Amazon. Cogentiq e-commerce monitors and actions against key profit signals such as stock levels, media spend allocation, keywords, content, and pricing to help products stay available, easily discoverable, and more likely to convert into a purchase. Cogentiq e-commerce moves teams from signal identification through recommended action in a matter of minutes. Amazon marketplace integration is live, with expansion across more e-commerce platforms planned in the near term. Cogentiq e-commerce monitors 70+ profit-driving marketplace signals daily and recommends corrective actions, orchestrated across customer, media, and supply chain, within minutes. Cogentiq e-commerce detects such signals to deliver cross-functional recommendations that teams can review and act on within minutes. Cogentiq e-commerce is built for rapid deployment, enabling businesses to go from sign-up to go-live in as little as two days using only a marketplace API. Reported Earnings • May 12
Full year 2026 earnings: EPS exceeds analyst expectations Full year 2026 results: EPS: ₹18.20 (up from ₹14.49 in FY 2025). Revenue: ₹33.6b (up 22% from FY 2025). Net income: ₹2.92b (up 31% from FY 2025). Profit margin: 8.7% (up from 8.1% in FY 2025). The increase in margin was driven by higher revenue. Revenue was in line with analyst estimates. Earnings per share (EPS) surpassed analyst estimates by 13%. Revenue is forecast to grow 19% p.a. on average during the next 2 years, compared to a 13% growth forecast for the Software industry in India. Valuation Update With 7 Day Price Move • Apr 27
Investor sentiment improves as stock rises 16% After last week's 16% share price gain to ₹972, the stock trades at a forward P/E ratio of 50x. Average forward P/E is 22x in the Software industry in India. Tillkännagivande • Apr 23
Fractal Analytics Limited to Report Q4, 2026 Results on May 11, 2026 Fractal Analytics Limited announced that they will report Q4, 2026 results on May 11, 2026 Tillkännagivande • Mar 17
Fractal Introduces LLM Studio to Bring Enterprise-Grade GenAI Customization with NVIDIA NeMo and NVIDIA NIM Microservices Fractal announced the launch of LLM Studio, an enterprise platform that helps organizations build and run language models tailored to their business. It is designed for teams that want more control over how models are governed, deployed, and managed in production. LLM Studio will be demonstrated at NVIDIA GTC 2026, the premier AI and accelerated computing conference by NVIDIA, taking place from March 16–19, 2026, at the San Jose McEnery Convention Center in California. LLM Studio enables businesses to design, build, evaluate, and operate domain-adapted language models using open-source models, powered by NVIDIA AI infrastructure and software stack. It brings together two modules: AutoLLM: Helps businesses create smaller, specialized models for specific tasks or industries. It supports open-source model selection, synthetic data generation, model customization, evaluation, and performance benchmarking. LLMOps: Helps teams manage the full life cycle after a model is created. It supports deployment, monitoring, and governance. LLM Studio helps keep model responses tied to an organization's approved data and context. This reduces hallucinations and improves the quality of reasoning. The resulting models remain proprietary to the organization. Teams can then use these models in agents or other generative AI applications to deliver more reliable performance, often at a fraction of the cost of running larger foundation models. LLM Studio, developed by the AI Client Services team at Fractal, is built on NVIDIA reference architectures, using NVIDIA NeMo for key model development workflow capabilities and NVIDIA NIM microservices for model hosting. This design helps businesses standardize how models are deployed and governed across major cloud environments, reducing the need for custom builds in each setup. Fractal is planning to use NVIDIA Nemotron open models for development. LLM Studio supports a wide range of applications. It is built for enterprise users, including teams with limited or no coding experience. Businesses can tailor models to their content and train them to follow specific instructions or build models designed for tasks that need stronger reasoning. Tillkännagivande • Mar 11
Fractal Launches Intelligent Sales Agents Within Flyfish.Ai Platform Fractal launched new intelligent agents within Flyfish.ai, its AI-native revenue acceleration platform built to reimagine how modern revenue teams operate, compete, and win. The upgraded platform brings together more than 35 coordinated AI agents that work across the entire sales lifecycle, from researching accounts and identifying buying signals to drafting personalized outreach and maintaining accurate pipelines in real time. Flyfish.ai is designed to remove that burden. Working continuously in the background, it identifies high-intent accounts, gathers relevant context, drafts personalized outreach, and keeps pipeline data current, enabling sales professionals to focus on strategic conversations and closing deals. Flyfish.ai is built to execute. Its coordinated AI agents research accounts, identify stakeholders, detect buying intent, draft context-rich communication, and update pipeline data in real time. The platform continuously learns from organizational data and engagement patterns, improving accuracy and effectiveness over time. Early deployments have shown promising results, including up to 30% faster deal cycles and a 42% increase in sales team productivity, driven by reductions in manual research, follow-ups, and pipeline management work. Flyfish.ai integrates with leading CRM, communication, and revenue platforms, enabling rapid deployment within existing enterprise workflows. With this evolution, Flyfish.ai moves beyond assistive tools to operate as a coordinated, execution-focused system embedded directly into how enterprises manage and grow their revenue. Reported Earnings • Mar 06
Third quarter 2026 earnings released Third quarter 2026 results: EPS: ₹6.40. Net income: ₹1.03b (up ₹1.03b from 3Q 2025). Revenue is forecast to grow 22% p.a. on average during the next 3 years, compared to a 14% growth forecast for the Software industry in India. Tillkännagivande • Feb 23
Fractal Analytics Limited to Report Q3, 2026 Results on Mar 05, 2026 Fractal Analytics Limited announced that they will report Q3, 2026 results on Mar 05, 2026 Board Change • Feb 16
Less than half of directors are independent Following the recent departure of a director, there are only 3 independent directors on the board. The company's board is composed of: 3 independent directors. 6 non-independent directors. Independent Director Janaki Akella was the last independent director to join the board, commencing their role in 2024. The company's minority of independent directors is a risk according to the Simply Wall St Risk Model. 
