Datamatics Q1 FY27: revenue ₹513.9 cr, PAT up 43%. Datamatics Global Services ltd. DATAMATICS Ask AI. Key takeaway from the quarter. Datamatics Global Services Limited reported a stronger profitability trend in Q1 FY27, supported by margin expansion and higher operating profit. Consolidated revenue from operations rose 9.9% year-on-year (YoY) to ₹513.9 crore. Profit After Tax (PAT) increased 43.5% YoY to ₹72.3 crore, compared with ₹50.4 crore in Q1 FY26. EBITDA grew 33.1% YoY to ₹101.1 crore. The company also reported a 343 basis points (bps) YoY expansion in EBITDA margin to 19.7%. The quarter was positioned as a result of an AI-first strategy, cost optimisation, and integration of acquisitions. Q1 FY27 numbers at a glance. The reported figures point to a clear gap between top-line growth and bottom-line growth, with profitability rising faster than revenue. Revenue moved from ₹467.6 crore in Q1 FY26 to ₹513.9 crore in Q1 FY27. EBITDA improved from a margin base of 16.27% to 19.7% for the quarter, as stated in the update. Diluted earnings per share (EPS) increased to ₹12.24, up from ₹7.49 YoY. The company described the quarter as being supported by steady customer adoption of its proprietary Agentic AI platforms. Datamatics also cited the strategic consolidation of TNQTech as part of the execution backdrop. What drove the performance. Datamatics attributed the Q1 FY27 outcome to its AI-first strategy and cost-optimisation initiatives. The company said the integration of recent acquisitions supported execution during the quarter. Operationally, the biggest highlight in the update was the EBITDA jump of 33.1% YoY, suggesting improved operating leverage. The margin expansion of 343 bps to 19.7% was presented as evidence of stronger operating discipline. The narrative also pointed to customer adoption of proprietary Agentic AI platforms, indicating a product-led element in the quarter's delivery. The company framed this as a key support for growth, alongside consolidation-led benefits. Profitability trend: PAT and EPS move sharply higher. PAT rose to ₹72.3 crore in Q1 FY27 from ₹50.4 crore in Q1 FY26, a YoY increase of 43.5%. In the same comparison, diluted EPS rose 63.5% YoY to ₹12.24. These two metrics were among the most prominent indicators in the update, highlighting the strength of the quarter's bottom line. The quarter also followed a FY26 period where Datamatics reported revenue and profit figures at a full-year level (as stated in the data). While quarterly seasonality can vary, the Q1 FY27 disclosure emphasised margin expansion as the core driver behind the profit jump. Stock and valuation snapshot mentioned in the update. As of 8 July 2026, Datamatics Global Services' share price was reported at ₹848.2. The same date also lists prices of ₹848.15 on NSE and ₹842.9 on BSE. As of March 2026, the company's market capitalisation was stated at ₹5,013.11 crore. These datapoints provide a reference for how the market was valuing the company around the period in which the quarterly performance was being discussed. The update does not specify the one-day price movement linked to the Q1 FY27 results itself, but it provides the quoted prices and market cap snapshot. How Q1 FY27 compares with Q1 FY26. The company's consolidated Q1 comparisons indicate steady revenue growth and a sharper improvement in operating and net profitability. Revenue rose from ₹467.6 crore to ₹513.9 crore, while PAT increased from ₹50.4 crore to ₹72.3 crore. EBITDA increased to ₹101.1 crore, and the EBITDA margin expanded to 19.7% from 16.27%. The stated improvement of 343 bps is consistent with those margin figures. The company also reported that the performance was backed by double-digit growth in profitability. | Metric (Consolidated) | Q1 FY27 | Q1 FY26 | | Revenue from operations | ₹513.9 crore | ₹467.6 crore | | EBITDA | ₹101.1 crore | Not stated in Q1 FY26 comparison block | | EBITDA margin | 19.7% | 16.27% | | Profit After Tax (PAT) | ₹72.3 crore | ₹50.4 crore | | Diluted EPS | ₹12.24 | ₹7.49 | FY26 context and other reported financial datapoints. The provided data also includes full-year FY26 figures and other quarterly references. Revenue from operations for FY26 was stated at ₹1,987.15 crore, compared with ₹1,723.36 crore in FY25. Total income for FY26 was stated at ₹2,043.23 crore, compared with ₹1,769.80 crore in FY25. The same dataset also mentions: "For the full year FY2026-2027, revenue reached ₹2,043.23 crore and profit touched at ₹194.95 crore." These figures are presented as-is from the source information, even where labelling appears inconsistent. Separately, Q4 FY26 revenue from operations was stated at ₹519.26 crore, with total income at ₹534.84 crore, and PAT at ₹16.36 crore. What investors may track next: earnings call schedule. Datamatics disclosed that it would hold an earnings conference call with analysts and investors on Thursday, 6 August 2026, at 5:00 PM IST. The purpose of the call is management discussion for the first quarter FY27 results. The company also mentioned that it would announce Q1 FY27 results on Wednesday, 5 August 2026, and that call details would be available on its website. This timeline sets the next formal checkpoint for additional commentary on drivers such as AI platform adoption, cost actions, and acquisition integration. The Q1 FY27 update stands out primarily for margin expansion and accelerated profit growth relative to revenue growth. EBITDA margin rising to 19.7% and PAT growing 43.5% YoY indicate stronger conversion of revenue into earnings during the quarter. The company's stated reliance on an AI-first strategy and consolidation synergies suggests a focus on operating efficiency alongside growth initiatives. The market snapshot also frames the quarter as being backed by "strong double-digit growth in profitability," which aligns with the reported PAT growth. The next layer of detail is likely to come from the scheduled earnings call, where management discussion may clarify the sustainability and sources of margin gains. | Market datapoints cited | Value | Date/Period | | Share price (reported) | ₹848.2 | 8 Jul 2026 | | Share price on NSE (reported) | ₹848.15 | 8 Jul 2026 | | Share price on BSE (reported) | ₹842.9 | 8 Jul 2026 | | Market capitalisation (reported) | ₹5,013.11 crore | As of Mar 2026 | Conclusion. Datamatics reported Q1 FY27 revenue of ₹513.9 crore and PAT of ₹72.3 crore, with EBITDA rising to ₹101.1 crore and margin expanding to 19.7%. The company attributed the outcome to an AI-first strategy, cost optimisation, and acquisition integration including TNQTech consolidation. Investors looking for additional operational detail have a defined near-term event to track. The company scheduled an earnings conference call for 6 August 2026 at 5:00 PM IST to discuss the first quarter FY27 results.

SBI Life collaborates with Datamatics to harness Agentic AI, redefining underwriting for smarter, future-ready risk assessment. PRNewswire Mumbai (Maharashtra) [India], May 27: Datamatics (BSE: 532528) (NSE: DATAMATICS), a global Digital Technologies, Operations, and Experiences company, today announced that SBI Life Insurance, one of India's most trusted life insurers, has appointed Datamatics to redefine underwriting operations using Agentic AI-powered automation. Underwriting is a mission-critical function for life insurers, particularly for complex cases that require detailed analysis of medical histories, laboratory reports, and multiple risk indicators. Traditionally, these evaluations have relied on manual review by experienced underwriters, a process that demands significant time and expertise. SBI Life has implemented Datamatics' TruAI Underwriting solution, powered by Agentic AI. The platform is designed to assist underwriters in handling complex medical underwriting cases with greater speed, consistency and insight. TruAI Underwriting ingests and analyzes documents such as medical reports, declarations, and laboratory results, extracting key medical parameters and highlighting potential risk indicators. It generates a consolidated digital case summary and provides intelligent decision support, drawing on underwriting rules and historical outcomes. With self-learning capabilities, the system continuously enhances risk evaluation over time, while final decision authority remains with human underwriters to ensure governance, accountability, and regulatory compliance. This collaboration marks a significant step toward smarter, more efficient underwriting, enabling SBI Life to enhance decision-making, improve operational efficiency, and elevate the overall customer experience. Rahul Kanodia, Vice Chairman and CEO, Datamatics, said, "At Datamatics, we are making strategic investments in AI, and Agentic AI to solve complex enterprise problems. Solutions like TruAI Underwriting demonstrate how these investments are translating into tangible business impact for our customers. We are happy to engage with SBI Life Insurance and showcase how intelligent AI agents can transform complex insurance underwriting process, assisting SBI Life operate faster and significantly reduce operational costs." SBI Life Insurance: for more information, please visit its website www.sbilife.co.in, and connect on Facebook, Twitter, YouTube, Instagram, and LinkedIn Datamatics Global Services Limited: to know more about Datamatics, visit www.datamatics.com For media queries, please contact: Amit Nagarseker Marketing & Corporate Communications [email protected] Logo: https://mma.prnewswire.com/media/2378391/4629271/Datamatics_Logo.jpg Logo: https://mma.prnewswire.com/media/2988514/sbi_logo.jpg (ADVERTORIAL DISCLAIMER: The above press release has been provided by PRNewswire. ANI will not be responsible in any way for the content of the same) Disclaimer: No Business Standard Journalist was involved in creation of this content First Published: May 27 2026 | 12:30 PM IST