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ESGL Holdings (ESGL) Fair Value & Analysis

Financial Services · US · Market cap $137M

Price$0.0600
Fair Value$0.0300
Upside-50.0%
Quality95/100
Evidence: Low Range $0.0200 – $0.0300

Fair value as of: Jun 25, 2026

Analysis

ESGL Holdings (ESGL) currently trades at $0.0600, while our model-based Fair Value estimate is $0.0300 — implying the stock looks roughly 50.0% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services 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

ESGL Holdings Limited, through its subsidiary, Environmental Solutions (Asia) Pte. Ltd., operates as a waste management, treatment, and recycling company. It engages in the collection and recycling of hazardous and non-hazardous industrial waste from pharmaceutical, semiconductor, petrochemical, and electroplating companies. The company was founded in 1999 and is headquartered in Singapore.

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Frequently asked questions

Is ESGL Holdings (ESGL) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $0.0300 versus a price of $0.0600 — about −50% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ESGL?
Our 21-model fair value for ESGL Holdings is $0.0300 (as of Jun 25, 2026), built from audited fundamentals. The current price is $0.0600.
What is the quality score of ESGL?
ESGL Holdings 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.