E2E Networks LimitedQuarter Ended 30-Sep-26 Results & Financial Update
E2E Networks Limited: Quarter Ended 30-Sep-26 consolidated results and company financials – revenue ₹223.76 Cr, PAT ₹72.70 Cr. Explore reported YoY/QoQ movements, margins, business drivers and management commentary. This page does not provide a rating, target price or investment recommendation.
Quarter at a glanceReported figures and period changes.Changes compare like-for-like reported periods where available.
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Quarterly Results AnalysisExplore E2E Networks Quarter Ended 30-Sep-26 quarterly results and earnings: revenue, profit (PAT), EBITDA, margins, YoY and QoQ growth, order book or business updates where reported, financial performance and management commentary. Reported figures and Nivata calculations are shown separately; no buy, sell or hold recommendation is provided.
Quarter overview
Quarterly earnings analysis
During the quarter ended September 30, 2026, E2E Networks delivered robust operational and financial expansion, propelled by accelerated adoption of its high-performance cloud GPU infrastructure and specialized AI platforms.
Monthly recurring revenue (MRR) expanded to INR 75.1 crore by September 2026, advancing from INR 71.8 crore at the close of June 2026 and reinforcing a multi-year compounding trajectory across the cloud business.
Operational momentum was highlighted by the signing of a major binding term sheet valued at approximately INR 1,000 crore, excluding taxes, with an India-based sovereign AI company for NVIDIA Blackwell cloud GPUs and allied services extending through June 2029.
Infrastructure deployment scaled further during the period, reaching approximately 5,100 live cloud GPUs—including 1,024 NVIDIA B200 units—supported by ongoing capacity additions and advanced cluster configurations.
The company reinforced its executive bench by onboarding key senior talent across enterprise sales, technical strategy, and corporate foundations, including Anand Ganapathy as Chief Revenue Officer, Vinod Kumar as SVP Field-CTO, and Abhishek Shindadkar heading the Founder's Office.
Product capabilities expanded concurrently with the introduction of VPC Connect for TIR, delivering enterprise-grade private networking and isolation for regulated workloads, alongside serverless inference scaling to zero and integrated object storage solutions.
01 · Business model
What does E2E Networks do?
E2E Networks Limited operates as India's sovereign provider of advanced cloud GPUs and hyperscale cloud infrastructure, offering specialized high-performance computing services built for artificial intelligence and machine learning workloads.
The company maintains over 16 years of operational excellence, deploying nearly 5,100 cloud GPUs across data centers located in Delhi NCR and Chennai, supported by an in-house engineering team of over 100 professionals.
Its proprietary technological ecosystem includes two primary AI platforms: TIR, designed for end-to-end model training, fine-tuning, RAG, and managed endpoints, and Jarvislabs.ai, a developer-first GPU cloud providing instant instance deployment and flexible developer workflows.
The company serves an extensive client base ranging from AI-native start-ups and LLM builders to regulated financial institutions, banks, insurers, and enterprise customers seeking domestic data residency and sovereign cloud solutions.
02 · Historical context
What shaped the business before this quarter
Jarvislabs.ai was integrated as an established E2E platform starting in December 2025, expanding developer-first instant GPU deployment capabilities.
Total deployed cloud GPU capacity expanded from 1,900 units in FY25 to 3,900 units in FY26, and further to approximately 5,100 units by Q2 FY27.
03 · Financial snapshot
Current quarter vs the two useful baselines
| Metric | Quarter Ended 30-Sep-26 | Year-ago | Previous quarter |
|---|---|---|---|
| Revenue from operations | ₹223.76 Cr | ₹43.80 Cr | ₹156.76 Cr |
| Total income | ₹233.69 Cr | ₹52.11 Cr | ₹168.18 Cr |
| Profit before tax | ₹97.13 Cr | ₹-18.49 Cr | ₹58.63 Cr |
| Profit after tax | ₹72.70 Cr | ₹-13.46 Cr | ₹43.88 Cr |
| EPS | ₹3.54 | ₹-0.67 | ₹2.10 |
Financial interpretation
What the reported numbers mean
Profit after tax represented 32.5% of reported quarterly operating revenue. This is a calculated net-profit-to-sales ratio, not a company-reported operating margin. It measures the outcome after expenses and tax; it does not, by itself, establish how margins changed versus another period.
Profit before tax was equivalent to 43.4% of quarterly operating revenue. The distinction between pre-tax and post-tax profit matters when interpreting earnings; neither ratio identifies an underlying cost driver without a properly matched comparative period.
Total income exceeded operating revenue by ₹9.93 crore. This is the disclosed difference between the two lines, not incremental sales. The distinction matters when assessing how much of the quarter’s reported income came from the operating top line.
Ratios above are calculated from the reported quarterly figures. They are analytical descriptions, not company-reported margin guidance or an investment recommendation.
04 · Why it moved
Why the quarter looked the way it did
What drove revenue
Operational revenue expansion was driven by heightened demand for Hopper and Blackwell cloud GPUs deployed for intensive AI training and inference workloads.
Growth was underpinned by rising exit MRR, which reached INR 751 million at the end of September 2026 compared to INR 718 million at the end of June 2026.
What drove margins
EBITDA margin reached 76.6% for the quarter, expanding from 75.2% in Q1 FY27 and 41.1% in Q2 FY26, reflecting high capacity utilization and scalable cloud infrastructure economics.
05 · Segments, products & geography
Which parts of the business are doing the work
Geography and market mix
Cloud infrastructure and GPU capacity are anchored in domestic data center facilities located in Delhi NCR and Chennai to ensure local data residency.
06 · Capacity, projects & execution
What is being built, commissioned or delivered
Projects, capex and execution
Cumulative capital expenditure reached INR 1,170 million in H1 FY27, following annual expenditures of INR 8,700 million in FY25 and INR 6,962 million in FY26.
Out of funds raised through preferential share issues, INR 1,290.45 million was utilized up to Q2 FY27, leaving a balance fund of INR 1,024.25 million from the Q4 FY26 raise.
07 · Strategy & new businesses
How the company is trying to change its growth mix
Rolled out VPC Connect for secure private networking, serverless inference scaling to zero, managed endpoints, and model APIs supporting open-source models.
08 · Reported developments
What changed operationally
Secured a multi-year term sheet worth INR 1,000 crore validating the transition of deployed capacity from pay-as-you-go to long-term enterprise commitments.
Exhibited at Global Fintech Fest 2026 in Mumbai, showcasing India-hosted GPU cloud and AI platforms to banks, insurers, and fintech entities.
09 · Cash flow & balance sheet
Profit is one thing. Cash and funding tell another part of the story.
Capital allocation & funding
Total borrowings stood at INR 4,504 million as of September 2026, compared to INR 1,032 million as of March 2026.
10 · Beyond the numbers
What changed beyond the numbers
Reported update
Strategic Advisory Additions
Strengthened the strategic advisory board with the inclusion of Alok Ohrie (former President & MD, Dell Technologies India) and Anandamoy Roychowdhary (Managing Director at Crane Venture Partners).
11 · Previous-quarter changes
What changed since the previous quarter
Exit MRR rose from INR 718 million in June 2026 to INR 751 million in September 2026.
12 · Key Q&A
The quarter, answered directly
What does E2E Networks do?
E2E Networks Limited operates as India's sovereign provider of advanced cloud GPUs and hyperscale cloud infrastructure, offering specialized high-performance computing services built for artificial intelligence and machine learning workloads.
What is the clearest takeaway from Quarter Ended 30-Sep-26?
During the quarter ended September 30, 2026, E2E Networks delivered robust operational and financial expansion, propelled by accelerated adoption of its high-performance cloud GPU infrastructure and specialized AI platforms.
What drove revenue or demand?
Operational revenue expansion was driven by heightened demand for Hopper and Blackwell cloud GPUs deployed for intensive AI training and inference workloads.
What mattered most for margins or profitability?
EBITDA margin reached 76.6% for the quarter, expanding from 75.2% in Q1 FY27 and 41.1% in Q2 FY26, reflecting high capacity utilization and scalable cloud infrastructure economics.
What changed operationally beyond the headline numbers?
Cumulative capital expenditure reached INR 1,170 million in H1 FY27, following annual expenditures of INR 8,700 million in FY25 and INR 6,962 million in FY26.
What should the next disclosure help confirm?
Execution and scaling of the planned 1,024+ NVIDIA B200 units and fulfillment of the INR 1,000 crore multi-year sovereign AI contract.
13 · Scenario calculator
Earnings sensitivity: what if growth and margins change?
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14 · Next filing checkpoints
What the next disclosure can confirm or change
- 01
Blackwell Deployment Milestones: Execution and scaling of the planned 1,024+ NVIDIA B200 units and fulfillment of the INR 1,000 crore multi-year sovereign AI contract.
- 02
Utilization of Raised Capital: Deployment of the remaining balance preferential issue funds amounting to INR 1,024.25 million.
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