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Cobre Limited (CBE) Fair Value & Analysis

Basic Materials · AU · Market cap A$309M

PriceA$0.3250
Fair ValueA$0.1100
Upside-66.2%
Quality95/100
Evidence: Low Range A$0.0800 – A$0.1400

Fair value as of: Jun 24, 2026

Analysis

Cobre Limited (CBE) currently trades at A$0.3250, while our model-based Fair Value estimate is A$0.1100 — implying the stock looks roughly 66.2% 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

Cobre Limited engages in the exploration and evaluation of mineral properties in Australia and Botswana. It explores for copper, gold, silver, and zinc deposits. The company's flagship project is the 100% owned Ngami Copper Project covering an area of 727 square kilometers located in Botswana. Cobre Limited was incorporated in 2018 and is based in Sydney, Australia.

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Frequently asked questions

Is Cobre Limited (CBE) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.1100 versus a price of A$0.3250 — about −66% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CBE?
Our 21-model fair value for Cobre Limited is A$0.1100 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.3250.
What is the quality score of CBE?
Cobre 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.