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Mt Malcolm Mines NL (M2M) Fair Value & Analysis

Basic Materials · AU · Market cap A$3.1M

PriceA$0.0070
Fair ValueA$0.0072
Upside+3.0%
Quality95/100
Evidence: High Range A$0.0072 – A$0.0072

Fair value as of: Jun 26, 2026

Analysis

Mt Malcolm Mines NL (M2M) currently trades at A$0.0070, while our model-based Fair Value estimate is A$0.0072 — implying the stock looks roughly 3.0% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

Mt Malcolm Mines NL engages in exploration and mining activities in Australia. It primarily explores for gold, lithium, and base metal. The company's flagship project is the Malcolm Gold Project located in Leonora. Mt Malcolm Mines NL was incorporated in 2020 and is based in Perth, Australia.

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Frequently asked questions

Is Mt Malcolm Mines NL (M2M) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0072 versus a price of A$0.0070 — about +3% (undervalued). Model-based estimate, not financial advice.
What is the fair value of M2M?
Our 21-model fair value for Mt Malcolm Mines NL is A$0.0072 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0070.
What is the quality score of M2M?
Mt Malcolm Mines NL 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.