E2E Networks Limited has published its postal ballot notice in leading national newspapers on April 22, 2026, fulfilling regulatory requirements under SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015. The cloud infrastructure company issued the notice to inform shareholders about upcoming corporate resolutions requiring their approval through electronic voting.

Postal Ballot Publication Details

The company published the postal ballot notice in two prominent newspapers on Wednesday, April 22, 2026. The notice appeared in The Financial Express (English National Daily Newspaper - all editions) and The Jansatta (Hindi National Daily Newspaper - Delhi edition). This publication was made pursuant to Regulation 47 and other applicable provisions of SEBI regulations.

The notice is also accessible on the company's website at https://www.e2enetworks.com , ensuring wider accessibility for shareholders and stakeholders.

Key Resolutions for Shareholder Approval

The postal ballot covers three significant corporate actions that require shareholder consent:

These resolutions will be transacted through ordinary and special resolutions via electronic voting only, eliminating the need for physical postal ballot forms.

E-Voting Timeline and Process

The company has established a comprehensive timeline for the e-voting process:

Only shareholders whose names appear in the register of members or beneficial owners as on the cut-off date of March 27, 2026, are entitled to participate in the e-voting process.

Administrative Arrangements

E2E Networks has appointed Mr. Ankush Agarwal (Membership No. F9719 & COP No. 14486), Partner of M/s. MAKs & Co., Company Secretaries, as scrutineer to ensure fair and transparent conduct of the postal ballot process. The Board of Directors approved this appointment through a resolution passed on April 20, 2026.

The company has partnered with MUFG Intime Private Limited as the Registrar and Share Transfer Agent to facilitate the e-voting platform. Shareholders can access the voting system through https://instavote.in.mpmfs.mufg.com/ and seek assistance at enotices@in.mpmfs.mufg.com or by calling 022-4916 6000.

Regulatory Compliance Framework

The postal ballot process adheres to multiple regulatory frameworks including Section 108 and Section 110 of the Companies Act, 2013, Rule 20 and Rule 22 of the Companies (Management and Administration) Rules, 2014, and Secretarial Standards-2 issued by the Institute of Company Secretaries of India. The company is also following MCA Circular No. 3/2025 dated September 22, 2025, which allows electronic-only dispatch of notices without physical copies.

E2E Networks Limited showcased robust financial performance in Q4 FY26, demonstrating the company's successful scaling of AI infrastructure and strong execution capabilities. The cloud infrastructure provider reported significant growth across key financial metrics, driven by increased GPU utilization and expanding customer base.

Strong Financial Performance in Q4 FY26

The company delivered exceptional quarterly results with substantial improvements across all major financial parameters:

The remarkable 186% year-on-year revenue growth reflects the company's ability to scale AI infrastructure rapidly and achieve high utilization across GPU clusters. The EBITDA margin expansion of 413 basis points sequentially demonstrates strong operating leverage and execution efficiency.

Full Year FY26 Results

For the complete financial year FY26, E2E Networks maintained its growth trajectory despite facing depreciation challenges from infrastructure investments:

The company's core business remains strongly cash positive and operationally profitable at the EBITDA level. Management emphasized that as utilization continues to ramp up, revenue will progressively outpace depreciation, improving reported profitability.

Infrastructure Expansion and Capacity Utilization

E2E Networks achieved approximately 80% capacity utilization in March across its entire infrastructure, including CPUs, GPUs, and storage. The company's monthly recurring revenue (MRR) reached INR374 million in March, reflecting strong demand momentum.

The company expects its first Blackwell B200 cluster of 1024 GPUs to go live by mid-May, with plans for deploying an additional cluster of 1024 GPUs in the coming months. Management indicated plans to deploy 2,048 B200 GPUs during the current financial year, targeting a minimum capacity of 6,000 GPUs by FY27 end.

Market Positioning and Strategic Initiatives

E2E Networks continues to strengthen its position in the AI infrastructure market through several strategic initiatives:

• Technology Stack Enhancement: The company has made significant software improvements to enhance reliability, performance, and scalability of GPU infrastructure
• Asset-Light Partnerships: Exploring various partnership models including the MOU with L&T to monetize GPU infrastructure
• Market Focus: Maintaining India-first approach while serving global customers, with international revenue contributing approximately 35-37% in Q4

Revenue Mix and Customer Segments

The company serves diverse customer segments across multiple industries including BFSI, education, and enterprise sectors. Government business, including India AI Mission, contributed 35-40% of quarterly revenue. GPU contribution to overall revenue is expected to reach 85-90% in the coming quarters as the company continues scaling its AI infrastructure.

Managing Director Tarun Dua emphasized the company's positioning in the growing AI market, noting strong demand both domestically and internationally. The management highlighted their focus on higher-value token generation and maintaining a balanced approach between short-term and long-term contracts to optimize revenue potential.

Future Outlook

E2E Networks remains optimistic about the AI infrastructure market's long-term growth prospects. The company continues exploring various financing models including equity, debt, and private credit asset-light models to rapidly expand GPU capabilities. With consistent industry benchmark performance for inference and training deployments, the company is well-positioned to capitalize on the increasing shift from CPU to GPU-based computing and from rule-driven to AI-driven software solutions.