E2E Networks (E2E) Q1 25/26 earnings summary

Executive summary

• Board approved unaudited results for the quarter ended June 30, 2025; results were reviewed by the Audit Committee and received an unmodified statutory review report.

• AI-focused cloud platform providing GPU infrastructure and software for AI/ML and GenAI workloads, with 100+ AI/ML and cloud engineers.

• Capacity reached ~3,900 cloud GPUs, supported by ~10 MW of data-center IT power.

• Strategic positioning centers on sovereign AI cloud services, proprietary cloud software, TIR AI/ML tools and partnerships including L&T and NVIDIA.

Financial highlights

• Revenue from operations was ₹3,611.02 lakhs, versus ₹2,543.51 lakhs in Q1 FY25 and ₹3,347.70 lakhs in Q4 FY25.

• Net loss was ₹284.14 lakhs, versus net profit of ₹1,014.21 lakhs in Q1 FY25 and ₹1,361.23 lakhs in Q4 FY25; basic and diluted EPS were both (1.42).

• EBITDA was INR 105 Mn, down 61.5% YoY and 21.2% QoQ; EBITDA margin was 29.1% versus 66.0% YoY.

• Other income was INR 150 Mn versus INR 3 Mn YoY; depreciation rose to INR 274 Mn from INR 107 Mn.

Outlook and guidance

• No forward-looking guidance for upcoming quarters was provided.

• Expansion priorities include sovereign cloud deployments, GenAI public cloud, AI Lab as a Service and marketplace partnerships for AI frameworks, models and runtimes.

• TIR is positioned to support production AI demand with scalable training, fine-tuning and inference environments.

• Stated capacity buildout includes ~2,300 H200 GPUs, ~700 H100 GPUs, ~900 other GPUs and ~600 CPU/storage cloud units.