1:10 Stock Split Alert! L&T Backed Small Cap Stock Fixes Stock Split Record Date | How To Get Eligible?

1:10 Stock Split Alert: E2E Networks Limited share price rallied nearly 5% on Friday, May 22, after the company announced the record date for the stock split in the ratio of 1:10. The L&T-backed firm had reported sub-division and a stock split.

E2E Networks Limited share price closed 5% higher at Rs 3,579.7 per share on NSE with a market capitalisation of Rs 3,085.38 crore on Friday, May 22. The stock had touched an intraday high of Rs 3,579.70 per share and an intraday low of Rs 3,320 per share.

E2E Networks Stock Split

E2E Networks board of directors approved a stock split in the ratio of 1:10. "Board approved the proposal to sub-divide each existing Equity Share of Rs.10/- each into 10 Equity Shares of Rs. 1/- each," read an NSE filing released by the company.

E2E Networks Stock Split Record Date

The board of directors has fixed Friday, June 5 as record date to determine the eligibility of stock split. "We hereby inform you that the Board of Directors of the Company has fixed Friday, June 5, 2026 as the Record Date for the purpose of determining the eligible equity shareholders of the Company whose equity shares are to be sub-divided/split."

E2E Networks Share Price Trend

E2E Networks share price closed in green on Friday. The stock touched its 52-week high mark of Rs 3,894.70 per share on October 7, 2025. The stock dipped to its 52-week low mark of Rs 1,833.60 per share on January 12, 2026. Its share price value has surged 79.06% since the beginning of the year 2026.

Earlier this year, E2E Networks announced work on an Nvidia Blackwell GPU cluster for its TIR cloud compute platform. According to an Nvidia blog, the setup will include Nvidia HGX B200 systems, Nvidia Enterprise software and Nvidia Nemotron open models, targeting sovereign AI projects across sectors such as healthcare, finance, manufacturing, agriculture and agentic AI.

The company is also building a 14-billion-parameter speech-to-speech model using Nvidia Nemotron Speech models, datasets and NeMo libraries, with plans to expand to 32 billion parameters. By fine-tuning Nemotron Speech for Indic languages, E2E Networks cut inference costs by 15x, allowing support for over 10 million calls daily for telecom, banking and hospitality clients.

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