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Everest Global Plc, through its subsidiary, (EVST) Fair Value & Analysis

Consumer Defensive · GB · Market cap 445K GBX

Pricep1.20
Fair Valuep2.34
Upside+95.0%
Quality95/100
Evidence: Low Range p1.76 – p2.93

Fair value as of: Jun 23, 2026

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Analysis

Everest Global Plc, through its subsidiary, (EVST) currently trades at p1.20, while our model-based Fair Value estimate is p2.34 — implying the stock looks roughly 95.0% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

Everest Global Plc, through its subsidiary, is involved in the retail sale of alcohol and beverages in the United Kingdom. The company was formerly known as Anglo African Agriculture Plc and changed its name to Everest Global Plc in October 2022. Everest Global Plc was incorporated in 2012 and is based in London, the United Kingdom.

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Frequently asked questions

Is Everest Global Plc, through its subsidiary, (EVST) undervalued?
As of Jun 23, 2026, our model estimates a fair value of p2.34 versus a price of p1.20 — about +95% (undervalued). Model-based estimate, not financial advice.
What is the fair value of EVST?
Our 21-model fair value for Everest Global Plc, through its subsidiary, is p2.34 (as of Jun 23, 2026), built from audited fundamentals. The current price is p1.20.
What is the quality score of EVST?
Everest Global Plc, through its subsidiary, has a Quality Score of 95/100, 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.