Netweb reports ₹2,400cr AI order book

Netweb is not a data-centre landlord. It is the company selling a lot of the gear that goes inside the room — AI systems, high-performance computing clusters, storage, and related infrastructure. That distinction matters. The news here is not “India needs more data centres.” The news is that one of the few listed Indian OEM-style beneficiaries just showed how hard AI demand is now hitting its numbers. On May 2, Netweb reported FY26 revenue from operations of ₹2,183.6 crore, up 90% year over year, and said AI systems revenue surged 459.6%. ### What did Netweb actually report? Netweb’s Q4 FY26 update was strong almost everywhere. Quarterly operating income came in at ₹773.7 crore, up 86.6% year over year. Full-year PAT reached ₹205.8 crore, up 80.9%. The company also said it ended March 31, 2026 with an order book of ₹472.4 crore and net free cash of ₹83.3 crore. So the business is growing fast without leaning on debt. (bseindia.com) ### Why are people talking about a ₹2,400 crore order book? Because there seems to be a mismatch between the chatter and the filing. The official Q4 FY26 press release says order book: ₹4,724 million — that is ₹472.4 crore, not ₹2,400 crore. There may be a separate pipeline figure floating around in broker notes or social posts, but the company’s own exchange-filed release for March 31, 2026 does not show ₹2,400 crore as reported order book. (bseindia.com) That is the first thing to get straight. ### So what is the real signal here? The real signal is mix shift. AI systems became 43.4% of operating revenue in FY26. That is a huge jump for a hardware and solutions company, because it means AI is no longer a side category — it is becoming the core growth engine. When a business like this starts getting pulled by AI clusters instead of general enterprise servers, revenue can scale fast, but execution and supply-chain discipline suddenly matter a lot more. (bseindia.com) ### Where does E2E fit into this? E2E is a different kind of play. It is more exposed to GPU cloud capacity than OEM hardware. But its ₹177 crore IndiaAI-related order is useful context because it shows real contract flow is happening inside India’s AI stack, not just in global hyperscaler capex budgets. E2E disclosed that the order, tied to GPU resources for GNANI AI under the IndiaAI initiative, was already under execution. (bseindia.com) ### Why does the data-centre angle matter? Because AI workloads are not normal server workloads. They pull much higher power density per rack and need tougher cooling design. CBRE has been blunt about this across Asia Pacific — AI-focused facilities need more than double the power density per server rack versus traditional sites. That changes who wins. It is not just land and buildings anymore. It is power, cooling, networking fabric, and the vendors that can actually deliver AI-ready compute boxes into those rooms. (nsearchives.nseindia.com) ### Is India really building that fast? Yes — and still not fast enough. JLL said India’s data-centre capacity crossed 1 GW in 2024 and is projected to reach 1.8 GW by 2027. Cushman & Wakefield put India around 1.3 GW with another 2.9 GW expected by 2030. Basically, the physical buildout is accelerating, but AI demand is rising at the same time, so the system still looks tight. (cbre.com) ### What’s the bottom line? The clean read is this: Netweb’s official filing supports a strong AI growth story, but not the ₹2,400 crore order-book claim. The bullish case does not need that bigger number anyway. A 459.6% jump in AI systems revenue already tells you what changed — India’s AI infrastructure spend is moving from theme to shipments. (bseindia.com) (jll.com)