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LTM AI Deals: Can the Pivot to Shorter-Tenure Contracts Lift H2 Revenue Growth?

  • October 19, 2026
  • Posted by: Ankit Jaiswal
  • Category: News
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LTM AI Deals: Can the Pivot to Shorter-Tenure Contracts Lift H2 Revenue Growth?

LTM (formerly LTIMindtree) reported Q2 FY27 revenue of Rs 11,807.6 crore, up 13.6%, and net profit of Rs 1,398 crore, flat year on year, on 16 Oct 2026. Order inflow fell to $1.26 billion, down about 21% from a year ago, which management links to shorter-tenure LTM AI deals. The CEO expects H2 to be better than H1, and the share trades near Rs 4,352 at 11:08 AM IST, down 0.87%.

Quick Answer

LTM AI deals are shorter in tenure, with the CEO saying standalone AI projects typically run six months to a year, so they convert to revenue faster but show up as lower total contract value. Order inflow in Q2 FY27 was $1.26 billion, down about 21% year on year and 25% from the previous quarter, and management says the sales team is now incentivised toward AI-native deals. The CEO expects H2 to beat H1 and full-year growth to come close to FY26, but no numeric guidance was given and H1 growth was only 5.4% in dollar terms. So LTM AI deals could lift H2 revenue growth if conversion is fast, but the evidence so far is the revenue mix, not a confirmed acceleration.

The question around LTM AI deals is whether a smaller headline order number hides faster revenue. Management says traditional total contract value understates LTM AI deals, while investors worry that lower inflow is an early warning for growth.

This guide covers the Q2 FY27 numbers, how LTM AI deals differ from older contracts, what management said about H2, margins and risks. It is educational and not a recommendation to buy or sell the share.

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Table of Contents

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  • LTM Q2 FY27 Results at a Glance
  • How LTM AI Deals Differ From Older Contracts
  • What Management Said About H2 for LTM AI Deals
  • Conflicting Growth Figures for LTM AI Deals to Check
  • Share Price Context and Risks Around LTM AI Deals
  • What to Watch Next
  • Conclusion
  • Frequently Asked Questions
    • What are LTM AI deals?
    • Why did LTM order inflow fall as LTM AI deals grew?
    • Will LTM AI deals lift H2 revenue growth?
    • What were LTM’s Q2 FY27 results?
    • How large is AI in LTM’s revenue?
    • What is the LTM dividend?
    • What is the LTM share price now?
    • Is this article investment advice?

LTM Q2 FY27 Results at a Glance

Metric Q2 FY27 Change
Revenue from operations Rs 11,807.6 crore Up 13.6% from Rs 10,394.3 crore
EBIT Rs 1,838.1 crore Up 11.5% year on year; EBIT margin 15.6%, up about 10 bps quarter on quarter
Net profit Rs 1,398 crore Down about 0.2% year on year and 4.6% quarter on quarter
Order inflow $1.26 billion Down about 21% year on year, from $1.59 billion
Headcount 88,835 Net addition of 949; attrition 13.3%
Interim dividend Rs 25 a share Record date 23 October 2026

The quarter-on-quarter profit drop reflects a one-time gain in Q1, which also explains why the PAT margin fell to 11.7% from 12.7%. The Rs 25 interim dividend is up 13.6% year on year, according to the call highlights.

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How LTM AI Deals Differ From Older Contracts

Feature Traditional large deals LTM AI deals
Tenure Multi-year transformation programmes Typically 6 to 12 months for standalone projects
Start Long transition before revenue Begins with a prototype, so revenue starts sooner
Growth path Vendor consolidation wins Start with one process such as HR, then expand
Order metric Total contract value ACV matters more; most of the order book is already ACV
Pricing Pressure expected Higher AI rate cards, better gross margin per management

CEO Venugopal Lambu called LTM AI deals faster iterative deals and said the AI work often leads to data modernisation. Sales incentives have been shifted toward AI-native deals, so the lower order inflow is partly a measurement effect, and the delivery runs on its BlueVerse ecosystem, which recently added OneToken and WriteLogic, and management may share an ACV and TCV split after a couple more quarters.

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What Management Said About H2 for LTM AI Deals

Topic Management view Open question
H2 versus H1 H2 will be better than H1; Q3 and Q4 to beat Q1 No numeric guidance given
Full year Grow as close as possible to FY26 growth H1 growth was 5.4% year on year
Saudi business Cut Q2 sequential growth by about 0.6 to 0.7 percentage points Pace of recovery
Technology vertical Expected to return to normal growth from Q3 Hardware delivery ramp
Randstad acquisition Expected to close in Q3; impact mainly amortisation Margin effect
Margins Work to keep FY27 EBIT margin near FY26 levels Investment in small language models

Revenue in rupees rose 13.6% while H1 growth in dollars was 5.4%, so part of the headline growth comes from currency, which is my reading of the gap. The pipeline, including large deals alongside LTM AI deals, remains healthy, according to the CEO, but the proof will be conversion in Q3 and Q4.

Conflicting Growth Figures for LTM AI Deals to Check

One source says AI revenue is 13.4% of total revenue and up 40% year on year, while another says Enterprise AI and Business AI revenue grew 47% year on year. These can both be right if they measure different things, and the call highlights call the 47% a cumulative figure, so check the investor presentation.

Share Price Context and Risks Around LTM AI Deals

Item Detail
Price at 11:08 AM IST About Rs 4,352, down 0.87% from Rs 4,390
52-week range Rs 3,528 to Rs 6,429.5
Distance from the high About 32% below (my calculation)
Main risks Contract-size compression, pricing pressure from mid-tier peers and higher retention cost for AI talent

Risk: If shorter LTM AI deals do not expand into larger scope, revenue growth could stay in single digits, and a fall in order inflow could repeat in Q3.

What to Watch Next

  1. Q3 order inflow and any ACV versus TCV split for LTM AI deals
  2. The share of LTM AI deals in revenue, which was 13.4% in Q2
  3. Recovery in the Saudi business and the technology vertical
  4. The close of the Randstad acquisition and the margin impact
  5. The record date of 23 October for the Rs 25 dividend

Conclusion

LTM AI deals can speed up revenue because projects start small and begin billing sooner, but the lower order inflow and 5.4% H1 growth mean the benefit is still a promise. Watch Q3 order inflow, the AI share and the EBIT margin before assuming the H2 lift.

Disclaimer: Data and figures in this article are sourced from publicly available information. These may or may not be accurate. Please verify all data with the official NSE (nseindia.com) and BSE (bseindia.com) websites before making any investment decision. Investments in securities are subject to market risk. This content is for educational purposes only and is not investment advice by Univest (SEBI RA INH000013776).

Frequently Asked Questions

What are LTM AI deals?

Ans. They are shorter-tenure AI-led projects, typically six months to a year, that start with a prototype and often expand into other functions or data modernisation.

Why did LTM order inflow fall as LTM AI deals grew?

Ans. Order inflow was $1.26 billion, down about 21% year on year, and management links it to the shift toward short-tenure AI deals that carry lower total contract value.

Will LTM AI deals lift H2 revenue growth?

Ans. Management expects H2 to be better than H1 and sees faster revenue conversion, but it gave no numeric guidance, so the lift is not confirmed.

What were LTM’s Q2 FY27 results?

Ans. Revenue was Rs 11,807.6 crore, up 13.6%, EBIT was Rs 1,838.1 crore at a 15.6% margin and net profit was Rs 1,398 crore.

How large is AI in LTM’s revenue?

Ans. AI revenue was 13.4% of total revenue in Q2 FY27, up 40% year on year per the call highlights.

What is the LTM dividend?

Ans. An interim dividend of Rs 25 a share with a record date of 23 October 2026.

What is the LTM share price now?

Ans. About Rs 4,352 at 11:08 AM IST on 19 October 2026, down 0.87%.

Is this article investment advice?

Ans. No. It is educational and not a recommendation to buy or sell.



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Author: Ankit Jaiswal
Ankit Jaiswal is the Senior Research Analyst at Univest, leading the platform's in-house equity research desk and serving as the editorial reviewer for all research and blog content published at univest.in. With 11+ years of experience in Indian equity markets, he oversees stock recommendations, earnings analysis, sector coverage, and ensures every published article meets SEBI Research Analyst Regulations. He holds a Bachelor of Commerce (B.Com) from St. Xavier's College, Kolkata — one of India's most prestigious commerce institutions — and has cleared CMT Level 2 from the CMT Association, a globally recognised certification in technical analysis and market research. His research methodology combines fundamental analysis (earnings quality, balance sheet strength, management commentary) with advanced technical analysis (chart patterns, momentum indicators, market structure) — giving Univest's retail investors a dual-lens approach that most Indian research platforms lack. Ankit is among the most comprehensively certified analysts in Indian financial media, holding five NISM certifications: Series-XV (Research Analyst), Series-VIII (Equity Derivatives), Series-VII (SORM), Series-VI (Depository Operations), and Series-V-A (Mutual Fund Distributors). At Univest — India's SEBI-registered research and advisory platform — Ankit's responsibilities include leading the research team, finalising stock recommendations published across Pro Lite, Pro Super, and Pro Gold advisory services, and maintaining editorial oversight of all YMYL financial content published on the blog.

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