The Indian AI server manufacturer delivers landmark Q2 FY27 performance, backed by a robust order book and booming high-performance computing segment.
Homegrown artificial intelligence server manufacturer Netweb Technologies has delivered a stellar performance for the second quarter of FY27, reporting a 334.8 per cent year-on-year surge in net profit after tax (PAT) to ₹136.7 crore ($14.3 million). Operating revenue for the July–September quarter jumped 335.7 per cent year-on-year to reach ₹1,323.3 crore ($139 million), driven by sustained demand across high-performance computing (HPC) and AI infrastructure.
The Faridabad-headquartered firm saw exponential expansion in its AI systems division, which generated ₹1,283.6 crore ($ 135 million) in revenue—marking a 735.8 per cent year-on-year increase for the first half of the fiscal year compared to H1 FY26. The AI segment now accounts for 59.9 per cent of the company’s total operating revenue.
Operating EBITDA rose 334 per cent year-on-year to ₹197.3 crore ($20.75 million), yielding an operating EBITDA margin of 14.9 per cent, whilst the PAT margin stood at 10.2 per cent. Netweb reported a lean net debt position of ₹13.6 crore (1.42 million) as of 30 September 2026.
“We are pleased to report that Q2 FY27 has been another record quarter for Netweb Technologies, with our highest-ever quarterly revenue from operations and profit after tax,” stated Sanjay Lodha, Chairman and Managing Director of Netweb Technologies.
“As of 30 September 2026, our order book stood at ₹2,629.0 crore ($276.4 million), with an additional L1 position of ₹652.5 crore ($68.6 million), providing strong revenue visibility for the coming quarters,” Lodha added.
During the quarter, Netweb also completed a successful ₹1,200 crore ($126.2 million) fundraising drive—its first institutional capital raise since listing in July 2023. Commenting on the firm’s growth trajectory, Lodha highlighted an active commercial pipeline of ₹11,151.80 crore ($1.17 billion), reinforcing confidence in the company’s medium-term outlook.
