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E2E Networks Limited (E2E) Fair Value & Analysis

Technology · IN · Market cap ₹84.7B

Price₹412.30
Fair Value₹89.99
Upside-78.2%
Quality97/100
Evidence: Low Range ₹70.01 – ₹109.97

Fair value as of: Jun 29, 2026

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Analysis

E2E Networks Limited (E2E) currently trades at ₹412.30, while our model-based Fair Value estimate is ₹89.99 — implying the stock looks roughly 78.2% overvalued today. We read business quality at 97/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

E2E Networks Limited provides cloud computing services in India. The company offers cloud infrastructure services through its cloud platform for deployment of compute workloads to manage and monitor Linux/Windows/GPU Cloud Machines with high performance CPU, large memory, or smart dedicated compute for CPU cores. It also provides Linux, Windows, and storage cloud solutions; and cloud GPUs and cloud solutions. The company's products are used in data science, NLP, computer vision / image processing, various digital native workloads, and traditional enterprise workloads. E2E Networks Limited was incorporated in 2009 and is based in New Delhi, India.

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Frequently asked questions

Is E2E Networks Limited (E2E) undervalued?
As of Jun 29, 2026, our model estimates a fair value of ₹89.99 versus a price of ₹412.30 — about −78% (overvalued). Model-based estimate, not financial advice.
What is the fair value of E2E?
Our 21-model fair value for E2E Networks Limited is ₹89.99 (as of Jun 29, 2026), built from audited fundamentals. The current price is ₹412.30.
What is the quality score of E2E?
E2E Networks Limited has a Quality Score of 97/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.