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Legacy Minerals Holdings (LGM) Fair Value & Analysis

Basic Materials · AU · Market cap A$25.0M

PriceA$0.1050
Fair ValueA$0.0200
Upside-81.0%
Quality95/100
Evidence: Low Range A$0.0200 – A$0.0300

Fair value as of: Jun 26, 2026

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Analysis

Legacy Minerals Holdings (LGM) currently trades at A$0.1050, while our model-based Fair Value estimate is A$0.0200 — implying the stock looks roughly 81.0% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

Legacy Minerals Holdings Limited engages in the acquisition and exploration of gold and copper projects in Australia. The company also explores for silver, zinc, lead, nickel, cobalt, platinum group elements, and base metal deposits. The company was founded in 2017 and is based in Bathurst, Australia.

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Frequently asked questions

Is Legacy Minerals Holdings (LGM) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0200 versus a price of A$0.1050 — about −81% (overvalued). Model-based estimate, not financial advice.
What is the fair value of LGM?
Our 21-model fair value for Legacy Minerals Holdings is A$0.0200 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.1050.
What is the quality score of LGM?
Legacy Minerals 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.