E2E Networks reported a consolidated net profit of ₹44 crore for the June quarter, driven by a 336% revenue surge. The stock hit its upper circuit as the company successfully commissioned its new B200 AI cluster and ramped up GPU utilization.
Detailed Coverage
E2E Networks saw its stock reach the upper circuit limit on the National Stock Exchange on Tuesday, closing at ₹446.40. This market reaction followed the company's financial results for the June quarter of the 2027 fiscal year, which showed a sharp rise in both profitability and revenue compared to the previous year.
Revenue and Profit Growth Driven by AI Demand
The company reported a consolidated net profit of ₹44 crore for the quarter ending June 2026. This is a notable shift from a loss of nearly ₹3 crore recorded in the same period last year. Compared to the March quarter, where the company posted a profit of ₹6.43 crore, the current figures reflect significant growth. Revenue from operations reached ₹157 crore, marking a 336% increase from ₹36 crore in the June quarter of the previous year. On a sequential basis, revenue grew by 64% from the ₹96 crore reported in the March quarter.
Management attributed these results to the operational success of its B200 cluster and higher utilization of its graphics processing units. The company’s focus on the TIR AI/ML platform, which supports artificial intelligence workloads, appears to be a major contributor to the current performance. Operating margins also saw a sharp improvement, with EBITDA margins reaching 75.2%, supported by an EBITDA figure of ₹117.9 crore.
Infrastructure Expansion and Corporate Moves
During the quarter, E2E Networks continued to scale its hardware capacity. The company successfully deployed the B200 cluster and increased its total fleet to approximately 5,100 GPUs. In a recent corporate update, the company also integrated Sovcloud Technologies Ltd as a wholly owned subsidiary. This move is part of a broader strategy to strengthen its team and enhance the technical performance of its large-scale computing clusters.
Investors should note that the company is currently in a phase of aggressive capital spending to expand its GPU infrastructure. While this has supported revenue growth, the sustainability of high profit margins will depend on how effectively the company can keep its hardware utilized as it scales. As the company competes in the high-growth but capital-intensive AI infrastructure sector, the main monitorables for shareholders will be the speed at which new capacity is commissioned, the total debt incurred to fund this expansion, and the long-term demand from the AI ecosystem for its cloud services.