LTM Q1FY27: Profit up 17%, AI run-rate $150m

Key takeaway from LTM’s June-quarter print

LTM (formerly known as LTI Mindtree) reported a stronger first quarter for FY27 on profit, revenue and margins, while highlighting early monetisation from its AI-led strategy. Consolidated net profit for the quarter ended June 30 rose about 17% year-on-year to around ₹1,468 crore, as revenue climbed 18% to ₹11,608 crore. In dollar terms, revenue was reported at $1,224 million, up 6.1% year-on-year, with constant-currency growth of 6.4%. The company also pointed to a rising contribution from AI work, pegging AI revenue at about $150 million on a quarterly run-rate basis.

What the company reported for Q1FY27

The company’s stock exchange filing showed consolidated net profit at ₹1,466.3 crore in Q1FY27, compared with ₹1,254.1 crore a year earlier. Revenue from operations increased to ₹11,608 crore from ₹9,840.6 crore in Q1FY26. Sequentially, revenue increased from ₹11,291.7 crore in the March quarter. LTM said EBIT margin expanded to 15.5% in the June quarter, improving 120 basis points year-on-year and 40 basis points sequentially.

Management commentary: AI pivot and deal activity

Venu Lambu, CEO and MD, said the quarter reflected progress on an “AI-centric strategy” and a continued focus on profitable growth. He linked the AI pivot to “tangible proof points” in client outcomes and in the “size and nature” of engagements being won. LTM also described its order book as strong, supported by a healthy pipeline across industry segments. In addition, management said the business is organised around three lines: iRun, iTransform and Business AI, as it pushes deeper into AI-led delivery.

AI revenue run-rate and where it is coming from

Lambu said AI revenue across Creative AI, Industrial AI and Business AI together contributed approximately $150 million on a quarterly run-rate basis. The company positioned this as an early indicator that AI-led delivery is moving from narrative to revenue. While the disclosure does not break out AI revenue by client or vertical, it links AI adoption to larger, outcome-focused engagements. For investors tracking near-term AI monetisation, this run-rate figure becomes a key reference point alongside order inflows and margin performance.

Order inflow, pipeline and demand commentary

LTM reported an order inflow of about $1,680 million in Q1FY27, up 3.1% year-on-year. The company said the quarter included two large deal wins, and also referenced an order book around $1,700 million in management commentary. Trailing twelve month (TTM) order book was reported at $1,650 million, which LTM attributed to its push to offer AI solutions. The company also said demand was broad-based, with momentum in top clients and major industry segments, particularly in North America and in technology and services.

Profitability drivers: New Horizon programme and forex

LTM attributed margin expansion to operational efficiencies from its New Horizon programme, along with foreign-exchange benefits. EBIT margin came in at 15.5% despite wage hikes, according to management commentary. Profit after tax was also cited at about ₹1,469 crore versus ₹1,341 crore in the prior quarter in one account of the results, indicating stronger sequential profitability. Basic EPS was cited at ₹49.5, up from ₹45.4 in the previous quarter.

Segment datapoint disclosed: consumer trend

The company disclosed that its consumer segment declined 0.7% sequentially, while growing 18.2% year-on-year. While this is only one segment datapoint, it suggests that growth remained stronger on an annual base than on a quarter-on-quarter base. Management commentary on broad-based demand and order inflow provides additional context on how growth may be supported even when certain segments see sequential softness.

Stock reaction and what markets appeared to like

One report noted the stock gained 4.74% to 4,037.2 from the previous close of 3,854.4 following the results. The move was linked to margin gains, an order book around $1,700 million, and management’s view that growth should improve through the rest of the year. The quarter’s constant-currency performance was described as 0.3% sequential growth and 6.4% year-on-year growth, highlighting that the primary positive surprise for markets may have been profitability and deal momentum rather than a sharp growth acceleration.

Snapshot table: Q1 financial and operating metrics

Longer-view context: TTM profitability snapshot disclosed

A separate TTM profitability snapshot reported revenue at ₹42,308 crore, cost of revenue at ₹29,524 crore, and gross profit at ₹12,784 crore. Other expenses were reported at ₹7,766 crore, with earnings at ₹5,018 crore, and net profit margin at 11.86%. Gross margin was listed at 30.22%. While this dataset is presented as a “latest earnings report (TTM)”, it provides a reference frame for how quarterly margin movements sit within the broader profitability profile.

Market impact and why the quarter matters

For LTM, the June quarter combined three elements investors typically track in large-cap IT services: year-on-year revenue growth, margin direction, and deal momentum. The reported 15.5% EBIT margin and the stated drivers (New Horizon efficiencies and forex benefit) matter because they point to execution levers beyond top-line growth. The $1,680 million order inflow and the $1,650 million TTM order book give a measurable read on near-term revenue visibility. The AI revenue run-rate of $150 million also adds a trackable data point for the company’s AI positioning, even though the disclosure does not provide a full segmental breakdown.

Conclusion

LTM’s Q1FY27 results showed higher year-on-year revenue, a roughly 17% rise in profit, and improved operating margins, alongside steady attrition at 13.3%. Management reiterated confidence based on a strong order book, an expanding AI contribution, and a healthy pipeline. Investors are likely to watch whether order inflows sustain above recent levels and whether the AI run-rate continues to scale in subsequent quarters, as the company executes its iRun, iTransform and Business AI structure.