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Marmota Limited (MEU) Fair Value & Analysis

Basic Materials · AU · Market cap A$124M

PriceA$0.0800
Fair ValueA$0.0300
Upside-62.5%
Quality95/100
Evidence: Low Range A$0.0200 – A$0.0400

Fair value as of: Jun 24, 2026

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Analysis

Marmota Limited (MEU) currently trades at A$0.0800, while our model-based Fair Value estimate is A$0.0300 — implying the stock looks roughly 62.5% 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

Marmota Limited engages in the exploration of mineral properties in Australia. It primarily explores for gold, titanium, and uranium deposits. The company's flagship project is the Aurora Tank, a gold discovery project in Australia. Marmota Limited was incorporated in 2006 and is based in Glenelg, Australia.

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Frequently asked questions

Is Marmota Limited (MEU) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.0300 versus a price of A$0.0800 — about −63% (overvalued). Model-based estimate, not financial advice.
What is the fair value of MEU?
Our 21-model fair value for Marmota Limited is A$0.0300 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.0800.
What is the quality score of MEU?
Marmota 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.