Coforge (NSE: COFORGE) has reported a striking set of numbers for the quarter ended 30 September 2026. Revenue reached ₹61,708 million, or US$652.2 million, up 53.6% year on year in rupee terms and 40.1% in dollar terms; net profit rose 56.5% to ₹5,881 million. Order intake was US$1.04 billion, the company signed eight large deals — its most in a single quarter — and its next-12-month executable order book climbed 45% year on year to US$2.38 billion. Coforge also raised its full-year EBIT-margin guidance to 16% from 15.5%. “These have put us firmly on course to be the industry growth leader for the third year running,” said chief executive Sudhir Singh.
The results matter beyond one company. India’s IT services industry is the world’s largest outsourcing base, and it is working through an uncomfortable question: whether the AI that firms are selling to clients will also erode the labour-intensive work that has long been their revenue engine. Coforge’s quarter is a data point in that debate, and reading it correctly — separating what it earned from what it bought, and what it is betting on — is the point of this piece. The headline is undeniably impressive, but it needs unpacking before it reads as an AI-native engineering success story — because most of the growth came from an acquisition, not from demand.
The Encora effect
The 53.6% rupee growth, and the 40.1% dollar growth, reflect the first full quarter of Encora, the US$2.35 billion AI-native engineering firm Coforge agreed to acquire in December 2025 and completed on 23 April 2026. Acquisitions distort year-on-year comparability, which is why the company points to a cleaner measure: organic constant-currency growth of 3.8% sequentially. That is solid for a mid-size IT services firm, but it remains a fraction of the reported figure.
Encora’s own contribution tells a similar story. On the earnings call, Coforge’s finance chief put Encora’s revenue in the quarter at roughly US$148 million — largely flat on the prior quarter, when the company reported it for only two months. Management expects Encora to start mirroring Coforge’s growth from the third quarter, and says the integration is “ahead of the acquisition plan” on margin. The distinction between organic and inorganic growth is not a technicality here. Investors and analysts watch it because acquisition-driven revenue can mask weak underlying demand, and because a deal only pays off if the acquired business grows after integration.
Coforge’s guidance that Encora will begin mirroring its own growth from the third quarter is a promise about the future, not a result; the quarter that just closed shows the acquisition in the numbers, not yet the compounding management expects. The bet, in other words, is that Encora’s contribution compounds from here; the reported growth this quarter mostly reflects the fact that the acquisition is now fully in the numbers.
The margin is the story
If the revenue headline flatters, the margin is the genuine surprise. EBIT margin reached 16.0%, up 134 basis points year on year and above the company’s own full-year guidance of 15.5%; EBITDA margin was 20.6%. Coforge raised its FY27 EBIT-margin guidance to 16%, said it expects 17% next year, and set an ambition to be among the top three scaled IT services firms on margins “while maintaining our growth momentum.”
That combination — growth and margin at once — is what the market watches most closely in IT services, because the sector’s usual trade-off is one or the other, rarely both. Coforge’s argument is that its AI-native engineering model delivers both: it has moved its EBIT margin from 14.4% in FY26 to 16% now, which it attributes largely to the programmatic use of AI in its own operations, alongside a mix shift toward higher-value work. Margin expansion at this scale is unusual in the sector, where wage inflation, pricing pressure and the cost of reskilling typically cap profitability. If the AI-driven efficiency holds, it is as much a proof of concept for clients as a cost line — a pointed argument in a market where buyers are sceptical that AI services firms practise what they sell.
A standalone EBIT margin of 17% suggests the core business is running leaner than the consolidated figure implies. It is also worth noting what Coforge is not doing. It is not retreating from growth to protect margin, nor sacrificing margin for headline revenue; it is attempting both simultaneously, which is why the guidance raise drew attention.
The AI-native bet
Underneath the numbers is a strategic wager on how the services industry changes. Coforge describes itself as an “AI-native engineering services leader” and frames the shift bluntly in its annual report: the industry is moving “from a scale-of-people business to a scale-of-intelligence” one, where clients buy outcomes rather than effort. Its delivery model centres on Forward Deployed Engineers — senior engineers embedded inside client teams who own business outcomes — supported by “Mod Squads” that pair human specialists with pre-built AI agents, and platforms including Coforge Nuuron, an enterprise AI operating system, and CXNova, an agentic customer-experience platform launched in September 2026.
This AI-native engineering bet is a direct response to the fear now stalking IT services: that AI will deflate demand for the labour-intensive work that has historically driven revenue. Coforge’s counter-argument is that firms carrying large “run-the-business” books will struggle to pivot, while a firm with less legacy managed services can move faster to outcome-based, agent-assisted delivery. The competitive context sharpens the point: larger rivals carry decades of run-the-business contracts that are hard to reprice and harder to automate away, while Coforge, smaller and less encumbered, can rebuild its delivery model around agents without cannibalising a legacy book.
Model is Different
The model is deliberately different from traditional staffing. A conventional delivery pyramid scales by hiring more junior engineers and billing their hours; Coforge’s Mod Squads pair a smaller number of senior specialists with AI agents, and price on outcomes.
If that works, it changes the economics: revenue can grow without headcount growing in step, and margin can rise as agents absorb routine work. The risk is the mirror image — outcome-based pricing shifts risk onto the vendor, and clients may resist paying a premium for agents that compress the very effort they used to buy. Whether that proves true over a full cycle is the open question, but the margin evidence is at least consistent with the strategy working so far.
What to watch
Three things will show whether the quarter is a turning point. First, whether organic growth accelerates from 3.8% sequentially, since that — not the Encora-boosted headline — is the truest test of demand. Second, whether Encora’s revenue begins to compound as management predicts, because the acquisition’s value depends on it. Third, whether the margin holds as the company scales, since the “growth and margin together” claim is what distinguishes Coforge’s story from the sector norm.
For the sector, the stakes are existential rather than incremental. If AI-native models deliver both growth and margin, they will become the template and the firms that adapt fastest will win; if they do not, the industry faces a long grind of margin compression as clients capture the productivity gains for themselves. Coforge’s numbers are an early, encouraging sign for the first case — but a single quarter, and one shaped by an acquisition, cannot settle a question this large.
There is also a question of scale. Coforge’s revenue run-rate is around US$2.5 billion after Encora, against an Indian IT industry worth more than US$315 billion. Its margin leadership, if sustained, would be a genuine achievement — and a template others may copy — but it is the performance of a mid-size challenger, not yet a verdict on the whole sector. Whether the margin holds, whether organic growth accelerates, and whether Encora compounds — those three answers, due over the next two quarters, will decide whether this quarter was a milestone or merely a moment.
A fourth signal is attrition and utilisation. Attrition held steady at 10.4% — among the lowest in the industry — and utilisation was 82.4%. Both matter because the AI-native model depends on retaining senior engineers and keeping them billable; if the pyramid flattens, the talent that runs it becomes the constraint.
What the results do and don’t establish
They establish strong reported growth, a record order book and large-deal count, an EBIT-margin raise and improving profitability. They do not establish that the growth is organic, that Encora’s contribution is compounding, or that the AI-native, outcome-based delivery model produces better economics than the traditional model across a full cycle.
The honest summary: Coforge has delivered a genuinely strong quarter, and the margin improvement is real. But the headline growth is mostly the arithmetic of an acquisition, and the strategic story — that AI-native engineering and outcome-based delivery are the way forward — is a bet that the numbers support so far without yet proving. For readers, the discipline is to separate the two: celebrate the margin, discount the headline, and watch organic growth and Encora’s ramp for the verdict.
Editor’s Note: This article draws on the Coforge release and the company’s investor materials and earnings-call transcript, plus independent coverage by Reuters (via StreetInsider), the Economic Times, Fortune India and Investing.com. Financial figures are from the company’s filing; the Encora acquisition affects year-on-year comparability, and the strategic productivity claims are the company’s. No interview was conducted.