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Beacon Minerals Limited (BCN) Fair Value & Analysis

Basic Materials · AU · Market cap A$255M

PriceA$2.59
Fair ValueA$0.5400
Upside-79.2%
Quality95/100
Evidence: Medium Range A$0.3600 – A$0.8800

Fair value as of: Jun 24, 2026

Analysis

Beacon Minerals Limited (BCN) currently trades at A$2.59, while our model-based Fair Value estimate is A$0.5400 — implying the stock looks roughly 79.2% 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: medium).

About the company

Beacon Minerals Limited, together with its subsidiaries, engages in the development and production of minerals in Western Australia. It primarily explores for gold. The company was incorporated in 2006 and is based in Boulder, Australia.

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Frequently asked questions

Is Beacon Minerals Limited (BCN) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.5400 versus a price of A$2.59 — about −79% (overvalued). Model-based estimate, not financial advice.
What is the fair value of BCN?
Our 21-model fair value for Beacon Minerals Limited is A$0.5400 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$2.59.
What is the quality score of BCN?
Beacon 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.