Datamatics profit surges 43% in Q1FY27 on AI strategy
Datamatics Global Services delivered strong Q1FY27 results with net profit rising 43.5% to ₹72.3 crore and revenue growing 9.9% to ₹513.9 crore. EBITDA margins expanded significantly to 19.7% due to AI-led deal wins and operational efficiency. Management maintains high single-digit growth guidance for FY27 and targets a ₹3,000 crore revenue run-rate within three years, supported by ongoing AI integration and potential M&A activity.
*this image is generated using AI for illustrative purposes only.
Datamatics Global Services reported a robust start to FY27, with consolidated net profit rising 43.5% year-on-year to ₹72.3 crore for the quarter ended June 30, 2026. The Mumbai-based digital operations and technology firm posted revenue from operations of ₹513.9 crore, up 9.9% from ₹467.6 crore in Q1FY26. This performance underscores the company’s successful execution of its AI-first strategy, which Vice Chairman and CEO Rahul Kanodia credited for winning larger, higher-value engagements across existing and new accounts.
The Board of Directors approved the unaudited standalone and consolidated financial results on August 5, 2026, pursuant to Regulations 30 and 33 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. Statutory auditors M L Bhuwania and Co LLP issued a limited review report on the results. The company also announced that the merger of Dextara Digital (USA) Inc. with Datamatics Global Services Inc. in Delaware became effective on April 1, 2026, while the Scheme of Amalgamation for Dextara Digital Private Limited and Datamatics Cloud Solutions Private Limited remains pending NCLT approval.
Q1FY27 Financial Highlights
The company’s financial performance demonstrates broad-based improvement across key metrics. EBITDA expanded significantly to ₹101.1 crore, up 33.1% year-on-year, with EBITDA margin improving by 343 basis points to 19.7%. Profit before tax stood at ₹92.0 crore, compared to ₹63.9 crore in the prior year quarter. Basic earnings per share (EPS) rose to ₹12.24 from ₹8.52.
| Metric | Q1 FY27 (₹ Cr) | Q1 FY26 (₹ Cr) | YoY Change |
|---|---|---|---|
| Revenue from Operations | 513.9 | 467.6 | 9.9% |
| EBITDA | 101.1 | 75.9 | 33.1% |
| EBITDA Margin | 19.7% | 16.2% | +343 bps |
| Profit Before Tax | 92.0 | 63.9 | 44.0% |
| Net Profit After Tax | 72.3 | 50.4 | 43.5% |
| Basic EPS (₹) | 12.24 | 8.52 | 43.5% |
Segment Performance and Operational Wins
Digital Operations revenue grew 16.1% year-on-year to ₹296.8 crore, with an EBIT margin of 19.3%. This segment benefited from the complete integration of TNQTech into Lumina Datamatics, strengthening the company’s position in scholarly journal production. Digital Technologies revenue rose 6.1% to ₹153.1 crore, though its EBIT margin was lower at 8.9%, partly due to ₹40–50 crore in annual AI R&D investments being booked here. Digital Experiences revenue declined 5.3% to ₹64 crore, with an EBIT margin of 11.7%.
Key wins validating the AI strategy included SBI Life Insurance selecting Datamatics’ TruAI Underwriting solution for Agentic AI-powered automation. A global engineering solutions provider expanded its relationship for AI-powered application transformation, and an American pet wellness provider extended its engagement for an AI-powered voice agent.
Strategic Outlook and Guidance
During the earnings call on August 6, 2026, management provided clarity on future growth drivers. Rahul Kanodia stated that approximately 60% of deals won in FY27 have been AI-led or largely AI-driven. The company maintains its guidance for high single-digit revenue growth for the full year, citing some market softness due to geopolitical uncertainties. However, Kanodia emphasized that deal sizes are increasing, even if project tenures are shortening from traditional multi-year annuities to smaller, transformation-focused projects.
Looking ahead three years, management targets reaching a revenue run-rate of approximately ₹3,000 crore, a significant jump from the current ~₹2,000 crore base. This growth is expected to be driven by organic expansion through AI platforms like KAIBRE and KAISDLC, supplemented by bolt-on acquisitions. The company is currently in dialogue with potential M&A targets, though no discussions have matured to a reportable stage.
What the Numbers Show
The 43.5% surge in net profit outpaced revenue growth of 9.9%, indicating significant operational leverage and margin expansion. The improvement in EBITDA margin by 343 basis points to 19.7% reflects disciplined cost management and higher-value deal wins. Notably, Q1FY27 results were free from exceptional items, unlike Q4FY26 which included a one-time impact of ₹16.23 crore arising from Labour Code changes and fair value adjustments of ₹40.85 crore related to contingent consideration. This cleaner base provides a more accurate view of underlying operational profitability. The company’s net cash and investments position strengthened to ₹710.2 crore as of June 30, 2026, up from ₹639.2 crore in FY26, providing ample liquidity for future growth initiatives.
Historical Stock Returns for Datamatics Global Services
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| -0.20% | -4.93% | -2.21% | +3.39% | -11.61% | +196.19% |
How will the shift from multi-year annuity contracts to shorter, transformation-focused AI projects impact Datamatics' revenue visibility and recurring income stability in FY28?
Given the heavy AI R&D costs currently depressing Digital Technologies margins, when does management expect these investments to yield proportional margin expansion across the segment?
What specific criteria is Datamatics using to evaluate potential bolt-on M&A targets, and how might upcoming acquisitions influence the timeline for reaching the ₹3,000 crore revenue run-rate?
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