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Great Divide Mining Ltd (GDM) Fair Value & Analysis

Basic Materials · AU · Market cap A$23.8M

PriceA$0.3550
Fair ValueA$0.2000
Upside-43.7%
Quality91/100
Evidence: Low Range A$0.1500 – A$0.2500

Fair value as of: Jun 24, 2026

Analysis

Great Divide Mining Ltd (GDM) currently trades at A$0.3550, while our model-based Fair Value estimate is A$0.2000 — implying the stock looks roughly 43.7% overvalued today. We read business quality at 91/100 (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

Great Divide Mining Ltd engages in the exploration and development of mineral resource properties in Australia. The company primarily explores for gold, antimony, copper, and lithium and rare earth metal deposits. Great Divide Mining Ltd was incorporated in 2021 and is headquartered in Brisbane, Australia.

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Frequently asked questions

Is Great Divide Mining Ltd (GDM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.2000 versus a price of A$0.3550 — about −44% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GDM?
Our 21-model fair value for Great Divide Mining Ltd is A$0.2000 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.3550.
What is the quality score of GDM?
Great Divide Mining Ltd has a Quality Score of 91/100, 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.