View ValuationFractal Analytics 향후 성장Future 기준 점검 4/6Fractal Analytics (는) 각각 연간 26.4% 및 18.1% 수익과 수익이 증가할 것으로 예상됩니다. EPS는 연간 28% 만큼 성장할 것으로 예상됩니다. 자기자본이익률은 3년 후 16.2% 로 예상됩니다.핵심 정보26.4%이익 성장률27.95%EPS 성장률Software 이익 성장17.2%매출 성장률18.1%향후 자기자본이익률16.16%애널리스트 커버리지Low마지막 업데이트13 May 2026최근 향후 성장 업데이트업데이트 없음모든 업데이트 보기Recent updatesReported Earnings • May 12Full year 2026 earnings: EPS exceeds analyst expectationsFull 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 27Investor 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.공시 • Apr 23Fractal Analytics Limited to Report Q4, 2026 Results on May 11, 2026Fractal Analytics Limited announced that they will report Q4, 2026 results on May 11, 2026공시 • Mar 17Fractal Introduces LLM Studio to Bring Enterprise-Grade GenAI Customization with NVIDIA NeMo and NVIDIA NIM MicroservicesFractal 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.공시 • Mar 11Fractal Launches Intelligent Sales Agents Within Flyfish.Ai PlatformFractal 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 06Third quarter 2026 earnings releasedThird 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.공시 • Feb 23Fractal Analytics Limited to Report Q3, 2026 Results on Mar 05, 2026Fractal Analytics Limited announced that they will report Q3, 2026 results on Mar 05, 2026Board Change • Feb 16Less than half of directors are independentFollowing 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.이익 및 매출 성장 예측BSE:544700 - 애널리스트 향후 추정치 및 과거 재무 데이터 (INR Millions)날짜매출이익자유현금흐름영업현금흐름평균 애널리스트 수3/31/202957,6936,884N/A9,74333/31/202847,7435,2493,2896,52043/31/202740,1594,1572,6974,84243/31/202632,9972,9221,9034,090N/A12/31/202531,7092,292N/AN/AN/A9/30/202530,2372,1942,1143,677N/A6/30/202528,9462,2122,6283,824N/A3/31/202527,6542,2303,1423,970N/A3/31/202421,963-4751,3501,595N/A3/31/202319,8542,030-645-306N/A3/31/202212,953-1,467-1,673-1,167N/A더 보기애널리스트 향후 성장 전망수입 대 저축률: 544700 의 연간 예상 수익 증가율(26.4%)이 saving rate(6.9%)보다 높습니다.수익 vs 시장: 544700 의 연간 수익(26.4%)이 Indian 시장(16.4%)보다 빠르게 성장할 것으로 예상됩니다.고성장 수익: 544700 의 수입은 향후 3년 동안 상당히 증가할 것으로 예상됩니다.수익 대 시장: 544700 의 수익(연간 18.1%)이 Indian 시장(연간 10.5%)보다 빠르게 성장할 것으로 예상됩니다.고성장 매출: 544700 의 수익(연간 18.1%)은 연간 20%보다 느리게 증가할 것으로 예상됩니다.주당순이익 성장 예측향후 자기자본이익률미래 ROE: 544700의 자본 수익률은 3년 후 16.2%로 낮을 것으로 예상됩니다.성장 기업 찾아보기7D1Y7D1Y7D1YSoftware 산업의 고성장 기업.View Past Performance기업 분석 및 재무 데이터 상태데이터최종 업데이트 (UTC 시간)기업 분석2026/05/19 13:26종가2026/05/19 00:00수익2026/03/31연간 수익2026/03/31데이터 소스당사의 기업 분석에 사용되는 데이터는 S&P Global Market Intelligence LLC에서 제공됩니다. 아래 데이터는 이 보고서를 생성하기 위해 분석 모델에서 사용됩니다. 데이터는 정규화되므로 소스가 제공된 후 지연이 발생할 수 있습니다.패키지데이터기간미국 소스 예시 *기업 재무제표10년손익계산서현금흐름표대차대조표SEC 양식 10-KSEC 양식 10-Q분석가 컨센서스 추정치+3년재무 예측분석가 목표주가분석가 리서치 보고서Blue Matrix시장 가격30년주가배당, 분할 및 기타 조치ICE 시장 데이터SEC 양식 S-1지분 구조10년주요 주주내부자 거래SEC 양식 4SEC 양식 13D경영진10년리더십 팀이사회SEC 양식 10-KSEC 양식 DEF 14A주요 개발10년회사 공시SEC 양식 8-K* 미국 증권에 대한 예시이며, 비(非)미국 증권에는 해당 국가의 규제 서식 및 자료원을 사용합니다.별도로 명시되지 않는 한 모든 재무 데이터는 연간 기간을 기준으로 하지만 분기별로 업데이트됩니다. 이를 TTM(최근 12개월) 또는 LTM(지난 12개월) 데이터라고 합니다. 자세히 알아보기.분석 모델 및 스노우플레이크이 보고서를 생성하는 데 사용된 분석 모델에 대한 자세한 내용은 당사의 Github 페이지에서 확인하실 수 있습니다. 또한 보고서 활용 방법에 대한 가이드와 YouTube 튜토리얼도 제공합니다.Simply Wall St 분석 모델을 설계하고 구축한 세계적 수준의 팀에 대해 알아보세요.산업 및 섹터 지표산업 및 섹터 지표는 Simply Wall St가 6시간마다 계산하며, 프로세스에 대한 자세한 내용은 Github에서 확인할 수 있습니다.분석가 소스Fractal Analytics Limited는 4명의 분석가가 다루고 있습니다. 이 중 4명의 분석가가 우리 보고서에 입력 데이터로 사용되는 매출 또는 수익 추정치를 제출했습니다. 분석가의 제출 자료는 하루 종일 업데이트됩니다.분석가기관Dhanshree JadhavChoice Equity Broking Private LimitedManish AdukiaGoldman SachsGaurav RateriaMorgan Stanley1명의 분석가 더 보기
Reported Earnings • May 12Full year 2026 earnings: EPS exceeds analyst expectationsFull 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 27Investor 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.
공시 • Apr 23Fractal Analytics Limited to Report Q4, 2026 Results on May 11, 2026Fractal Analytics Limited announced that they will report Q4, 2026 results on May 11, 2026
공시 • Mar 17Fractal Introduces LLM Studio to Bring Enterprise-Grade GenAI Customization with NVIDIA NeMo and NVIDIA NIM MicroservicesFractal 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.
공시 • Mar 11Fractal Launches Intelligent Sales Agents Within Flyfish.Ai PlatformFractal 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 06Third quarter 2026 earnings releasedThird 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.
공시 • Feb 23Fractal Analytics Limited to Report Q3, 2026 Results on Mar 05, 2026Fractal Analytics Limited announced that they will report Q3, 2026 results on Mar 05, 2026
Board Change • Feb 16Less than half of directors are independentFollowing 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.