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Logistics Development Group (ESLGF) Fair Value & Analysis

Industrials · US · Market cap $94.1M

Price$0.2275
Fair Value$0.6000
Upside+163.7%
Quality95/100
Evidence: High Range $0.4500 – $0.7500

Fair value as of: Jun 25, 2026

Analysis

Logistics Development Group (ESLGF) currently trades at $0.2275, while our model-based Fair Value estimate is $0.6000 — implying the stock looks roughly 163.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high) — always confirm before acting.

About the company

Logistics Development Group plc does not have significant operations. The company intends to invest in the portfolio of assets. Previously, it was involved in the provision of logistics solutions. The company was formerly known as Eddie Stobart Logistics plc and changed its name to Logistics Development Group plc in February 2021. Logistics Development Group plc is based in London, the United Kingdom.

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Frequently asked questions

Is Logistics Development Group (ESLGF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $0.6000 versus a price of $0.2275 — about +164% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ESLGF?
Our 21-model fair value for Logistics Development Group is $0.6000 (as of Jun 25, 2026), built from audited fundamentals. The current price is $0.2275.
What is the quality score of ESLGF?
Logistics Development Group 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.