View ValuationFractal Analytics 将来の成長Future 基準チェック /46Fractal Analytics利益と収益がそれぞれ年間26.4%と18.1%増加すると予測されています。EPS は年間 増加すると予想されています。自己資本利益率は 3 年後に16.2% 28%なると予測されています。主要情報26.4%収益成長率27.95%EPS成長率Software 収益成長17.3%収益成長率18.1%将来の株主資本利益率16.16%アナリストカバレッジLow最終更新日13 May 2026今後の成長に関する最新情報更新なしすべての更新を表示Recent 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.お知らせ • 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お知らせ • 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.お知らせ • 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.お知らせ • 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.業績と収益の成長予測NSEI:FRACTAL - アナリストの将来予測と過去の財務データ ( )INR Millions日付収益収益フリー・キャッシュフロー営業活動によるキャッシュ平均アナリスト数3/31/202957,6936,884N/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/Aもっと見るアナリストによる今後の成長予測収入対貯蓄率: FRACTALの予測収益成長率 (年間26.4% ) は 貯蓄率 ( 6.9% ) を上回っています。収益対市場: FRACTALの収益 ( 26.4% ) はIndian市場 ( 16.5% ) よりも速いペースで成長すると予測されています。高成長収益: FRACTALの収益は今後 3 年間で 大幅に 増加すると予想されています。収益対市場: FRACTALの収益 ( 18.1% ) Indian市場 ( 10.5% ) よりも速いペースで成長すると予測されています。高い収益成長: FRACTALの収益 ( 18.1% ) 20%よりも低い成長が予測されています。一株当たり利益成長率予想将来の株主資本利益率将来のROE: FRACTALの 自己資本利益率 は、3年後には低くなると予測されています ( 16.2 %)。成長企業の発掘7D1Y7D1Y7D1YSoftware 業界の高成長企業。View Past Performance企業分析と財務データの現状データ最終更新日（UTC時間）企業分析2026/05/17 07:30終値2026/05/15 00:00収益2026/03/31年間収益2026/03/31データソース企業分析に使用したデータはS&P Global Market Intelligence LLC のものです。本レポートを作成するための分析モデルでは、以下のデータを使用しています。データは正規化されているため、ソースが利用可能になるまでに時間がかかる場合があります。パッケージデータタイムフレーム米国ソース例会社財務10年損益計算書キャッシュ・フロー計算書貸借対照表SECフォーム10-KSECフォーム10-Qアナリストのコンセンサス予想+プラス3年予想財務アナリストの目標株価アナリストリサーチレポートBlue Matrix市場価格30年株価配当、分割、措置ICEマーケットデータSECフォームS-1所有権10年トップ株主インサイダー取引SECフォーム4SECフォーム13Dマネジメント10年リーダーシップ・チーム取締役会SECフォーム10-KSECフォームDEF 14A主な進展10年会社からのお知らせSECフォーム8-K* 米国証券を対象とした例であり、非米国証券については、同等の規制書式および情報源を使用。特に断りのない限り、すべての財務データは1年ごとの期間に基づいていますが、四半期ごとに更新されます。これは、TTM（Trailing Twelve Month）またはLTM（Last Twelve Month）データとして知られています。詳細はこちら。分析モデルとスノーフレーク本レポートを生成するために使用した分析モデルの詳細は当社のGithubページでご覧いただけます。また、レポートの使用方法に関するガイドやYoutubeのチュートリアルも掲載しています。シンプリー・ウォールストリート分析モデルを設計・構築した世界トップクラスのチームについてご紹介します。業界およびセクターの指標私たちの業界とセクションの指標は、Simply Wall Stによって6時間ごとに計算されます。アナリスト筋Fractal Analytics Limited 4 これらのアナリストのうち、弊社レポートのインプットとして使用した売上高または利益の予想を提出したのは、 。アナリストの投稿は一日中更新されます。4 アナリスト機関Dhanshree JadhavChoice Equity Broking Private LimitedManish AdukiaGoldman SachsGaurav RateriaMorgan Stanley1 その他のアナリストを表示
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.
お知らせ • 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
お知らせ • 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.
お知らせ • 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.
お知らせ • 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.