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McLaren Minerals Limited (MML) Fair Value & Analysis

Basic Materials · AU · Market cap A$5.6M

PriceA$0.0120
Fair ValueA$0.0121
Upside+1.1%
Quality95/100
Evidence: Low Range A$0.0113 – A$0.0132

Fair value as of: Jun 26, 2026

Analysis

McLaren Minerals Limited (MML) currently trades at A$0.0120, while our model-based Fair Value estimate is A$0.0121 — implying the stock looks roughly 1.1% 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: low) — always confirm before acting.

About the company

McLaren Minerals Limited engages in the mineral exploration and evaluation activities in Australia. It primarily explores silica sand and titanium deposits. The company's flagship project is the McLaren Minerals Titanium project located on the western side of the Eucla Basin, Western Australia. The company was formerly known as Allup Silica Limited and changed its name to McLaren Minerals Limited in December 2024. McLaren Minerals Limited was incorporated in 2013 and is based in Perth, Australia.

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Frequently asked questions

Is McLaren Minerals Limited (MML) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0121 versus a price of A$0.0120 — about +1% (undervalued). Model-based estimate, not financial advice.
What is the fair value of MML?
Our 21-model fair value for McLaren Minerals Limited is A$0.0121 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0120.
What is the quality score of MML?
McLaren Minerals Limited 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.