Datamatics Revenue Soars 20% Amidst AI Push, Profit Hit by ₹40 Cr One-Off

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AuthorIshaan Verma|Published at:
Datamatics Revenue Soars 20% Amidst AI Push, Profit Hit by ₹40 Cr One-Off
Overview

Datamatics Global Services reported a strong Q3 FY'26 with revenue hitting a record ₹510.1 crores, up 19.9% year-on-year, driven by operational efficiencies. EBITDA surged 76.4% YoY to ₹96.2 crores with margins expanding significantly. However, Profit After Tax (PAT) declined 42.5% QoQ to ₹36.4 crores due to a ₹40.3 crore one-time charge from labour code changes. Excluding this, adjusted PAT would be ₹76.7 crores. The company is making substantial annual investments in AI, including Google Gemini Enterprise, and maintains a healthy net cash position of ₹540.2 crores. Management forecasts conservative high single-digit revenue growth for FY'27.

Datamatics Global Services Q3 FY'26: Revenue Surges, Profit Suffers One-Time Hit Amidst AI Bet

Datamatics Global Services Limited has posted robust Q3 FY'26 results, showcasing significant top-line growth and operational improvements, though a substantial one-time charge impacted the bottom line. The company is doubling down on Artificial Intelligence, positioning itself as an "AI-first" organization.

📉 The Financial Deep Dive

The Numbers: For the third quarter of Fiscal Year 2026, Datamatics reported a record total revenue of ₹510.1 crores, marking a strong 19.9% year-on-year (YoY) increase and a 4.1% quarter-on-quarter (QoQ) growth. Earnings Before Interest, Taxes, Depreciation, and Amortisation (EBITDA) witnessed an impressive surge of 76.4% YoY to ₹96.2 crores, with EBITDA margins expanding to 18.9% (up 604 bps YoY, 75 bps QoQ). Earnings Before Interest and Tax (EBIT) stood at ₹74.2 crores, growing 65.9% YoY and 7.7% QoQ, with an EBIT margin of 14.6% (+404 bps YoY).

Profit After Tax (PAT) for the quarter was reported at ₹36.4 crores, a 42.5% decline QoQ. This significant drop was primarily attributed to a one-time exceptional charge of ₹40.3 crores related to changes in Indian labour codes, impacting gratuity and leave encashment liabilities. Excluding this one-off, the adjusted PAT would have been approximately ₹76.7 crores, highlighting strong underlying profitability. For the nine months ended December 2025, revenue grew 19.7% YoY to ₹1,467.9 crores, and EBITDA grew 68.7% YoY to ₹261 crores (17.8% margin). PAT for the nine months stood at ₹150 crores, down 6.3% YoY, also due to the exceptional charge. However, when comparing profit before tax excluding exceptional items (a ₹40.2 Cr charge in FY'26 vs. a ₹34.8 Cr gain in FY'25), PBT grew a robust 39.8% YoY.

The Quality: Operational efficiencies and cost optimization have been key drivers for margin expansion. The company continues to maintain a healthy balance sheet, reporting net cash and investments of ₹540.2 crores as of December 2025. Billed Days Sales Outstanding (DSO) was stable at 55 days.

The Grill: Management discussed their aggressive investment in AI technologies, including the internal rollout of Google Gemini Enterprise and the development of AI solutions for sectors like insurance, banking, and logistics. They acknowledged that the Digital Experiences segment remains soft due to client transitions to captive centres but anticipates a turnaround from Q1 FY'27. The FY'27 revenue growth forecast of high single digits (excluding M&A) was characterized as conservative, acknowledging uncertainties like geopolitical factors and the disruptive potential of AI. The company confirmed annual investments of ₹40-50 crores in transformation technologies, expensing these costs.

🚩 Risks & Outlook

The company's forward-looking strategy is heavily centered on becoming an "AI-first" organization. While the near-term outlook for the Digital Experiences segment is subdued, management expressed optimism regarding long-term growth driven by AI adoption, expansion in strategic accounts, and potential merger and acquisition activities. Key risks identified include geopolitical instability affecting the critical US market, the pace at which clients adopt AI technologies, and concerns around data security in AI deployments.

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