NSEAnalysts/Institutional Investor Meet/Con. Call Updates16 Jul 2026 · 16 Jul 2026, 04:52 pm

Analysts/Institutional Investor Meet/Con. Call Updates

LTM Limited · LTM

✦ AI Summary▲ PositiveResults

LTM Limited, a technology company, has announced its Q1 FY2027 earnings results, reporting revenues of USD 1.22 billion with a 0.3% sequential growth and 6.4% year-over-year growth in constant currency terms. The company's EBIT margins came in at 15.5%, a 40 basis point sequential improvement despite wage hikes.

Analysis Scores

Earnings Impact8/10
Growth Catalyst6/10
Governance Concern1/10
Regulatory Risk2/10
Balance Sheet Risk5/10
Liquidity Impact9/10
Market Sentiment8/10

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LTM/SE/STAT/2026-27/61 July 16, 2026 National Stock Exchange of India Limited, BSE Limited, Exchange Plaza, Bandra-Kurla Complex, Phiroze Jeejeebhoy Towers, Bandra (E), Dalal Street, Mumbai - 400 051 Mumbai - 400 001 NSE Symbol: LTM BSE Scrip Code: 540005 Dear Sir(s)/Madam, Subject: Transcript of Earnings Conference Calls held on July 11, 2026 With reference to the captioned subject, please find enclosed transcript of the Earnings Conference Calls* held on July 11, 2026. Kindly take the above on record. Thanking you, Yours faithfully, For LTM Limited Angna Arora Company Secretary & Compliance Officer Encl.: As above *Due to technical issues, the Company conducted an additional call through Microsoft Teams Platform immediately after the scheduled earnings call at 8:00 p.m. (IST). LTM Limited (Formerly LTIMindtree Limited) L&T Technology Center, Tower 1, Gate No. 5, Saki Vihar Road, Powai, Mumbai - 400072, Maharashtra, India. T: +91 92402 97500 Registered Office: L&T House, Ballard Estate, Mumbai - 400 001, India. W: ltm.com • E: info@ltm.com • CIN: L72900MH1996PLC104693 “Transcript of LTM Limited Q1 FY2027 Earnings Call” July 11, 2026 Management: Mr. Venu Lambu - Chief Executive Officer & Managing Director Mr. Vipul Chandra Singh - Chief Financial Officer & Whole-Time Director Mr. Vikas Jadhav - Head, Investor Relations Page 1 of 48 LTM Limited July 11, 2026 Moderator: Ladies and gentlemen, good day and welcome to the LTM Limited Q1 FY2027 Earnings Call. Please note all participants are currently in listen only mode and there will be an opportunity to ask questions following the conclusion of the management's opening remarks. Please note that this call is being recorded. I now hand the conference over to Mr. Vikas Jadhav, Head of Investor Relations team. Over to you, Sir. Vikas Jadhav: Thanks, Swapnil. Good day everyone and welcome to LTM's Q1 FY2027 earnings conference call. Today on the call, we have with us Mr. Venu Lambu, Chief Executive Officer and Managing Director and Mr. Vipul Chandra, Chief Financial Officer and Whole Time Director. We will begin by providing a brief overview of company's Q1 FY2027 performance after which we will open the floor for Q&A. During the call, we could make forward looking statements. These statements consider the environment as we see today and carry risks and uncertainties that could cause our actual results to differ materially from those expressed in today's call. We do not undertake to update any forward-looking statement made on this call. I now turn the call over to Venu for his opening remarks. Venu Lambu: Thank you, Vikas. Hello, everyone. Firstly, thank you for joining us on a Saturday evening. Our profitable growth journey in the AI era is off to a good start. With our leading industry segments delivering a strong quarter-over-quarter Page 2 of 48 LTM Limited July 11, 2026 growth. Our New Horizons program continues to deliver significant progress, contributing to the overall margin expansion. Our deal win momentum remained strong. I will share more details on this later in the call. Before I turn to the quarterly numbers, let me briefly recap the strategy we set out at our Investor Day 2026. We committed to becoming an AI- centric organization, reorganizing around AI, building a comprehensive AI ecosystem, and steadily shifting our revenue mix towards AI-led work. This quarter, we delivered many proof points, with measurable business outcomes in line with our strategy. We now operate through three lines of business. iRun, iTransform, and Business AI. 1. iRun operates and secures our client's technology estates with an AI- infused approach. 2. iTransform delivers large scale transformation, modernization, and differentiated experiences through AI-led software engineering, data, interactive, and enterprise platforms. 3. Business AI reimagines the core business processes and client's business model through our domain, data, agentic, and SLM capabilities. Foundational to our lines of business is BlueVerse™, our AI ecosystem. It brings together our AI-led offerings and deployment capabilities with future-ready talent, domain-specific SLMs, and a growing library of prebuilt agents supported by new AI-native business models, and expanded GTM partnerships. Through this structure, we deliver four distinct types of AI work: Page 3 of 48 LTM Limited July 11, 2026 1. Enterprise AI, which embeds intelligence into the enterprise technology stack. 2. Business AI, which reimagines core business processes and business models. 3. Industrial AI, which infuses AI into our clients' manufacturing process and supply chains through connected products and solutions and 4. Creative AI, which transforms our clients' creative content, design, and experiences. Three lines of business, four types of AI work, one ecosystem - This is how we Outcreate with AI. I am happy to share that our AI revenue across Creative, Industrial and Business AI together contributed approximately USD 150 million on a quarterly run rate basis. Let me now share the financial performance for Q1 FY2027: We reported revenues of USD 1.22 billion, delivering a 0.3% growth on a sequential basis and 6.4% growth on a year-over-year basis in constant currency terms. We are pleased to report that our EBIT margins came in at 15.5%, a 40 basis point sequential improvement despite wage hikes. This also translates into 120 basis points year-over-year improvement reflecting strong execution. Our order book continues to be stable at USD 1.7 billion, including two large deal wins. Let me now turn to some of our notable deal wins this quarter. Page 4 of 48 LTM Limited July 11, 2026 In iRun LoB, We were selected by a US-based insurance company to modernize infrastructure operations through an AI-led delivery model, enhancing resilience, stability, and operational efficiency. We expanded our relationship with a global business travel management company to transform its IT operations, application services, and consolidated its infrastructure to an integrated iRun model. In iTransform LoB, We were selected as a strategic vendor by a US based multinational organization as part of its effort to consolidate its IT services landscape. Through our iRun, iTransform, and business AI LoB modelswe will help them to reduce complexity, optimize costs, and accelerate transformation. This is the same large deal we referenced during our Investor Day last month. We were chosen as a transformation partner for a leading global automotive manufacturer to consolidate and modernize its technology landscape through an AI-led model, improving operational efficiency and simplifying IT operations. We were selected as a strategic data transformation partner by a major global industrial manufacturer of climate and energy solutions to consolidate its federated data ecosystem into a unified enterprise data platform, enabling data monetization and building a single source of truth. Page 5 of 48 LTM Limited July 11, 2026 We were selected by a US-based financial payments company to advance its technology transformation agenda through an AI insights platform, cloud migration, and modernization initiatives. In Business AI, We were selected by a European consumer company to reimagine its existing sales excellence process and deploy an AI-powered data and decision intelligence platform to improve pricing, promotions, and sales effectiveness. We were selected by a global industrial conglomerate to deploy an AI- driven platform that automates end-to-end proposal management, improving speed, quality, and consistency of client responses. Our BlueVerse™ Voicing SLM continues to gain momentum with our clients. We completed 17 unique implementations in the past 12 months, including two key wins this quarter. The first one, a leading U.S. leisure travel company selected BlueVerse™ Voicing to automate member verification and resolve routine inquiries autonomously. The second one, a global financial administration co [Showing first 8,000 characters — download PDF for full document]