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Dynamic Metals Limited (DYM) Fair Value & Analysis

Basic Materials · AU · Market cap A$27.8M

PriceA$0.4850
Fair ValueA$0.6300
Upside+29.9%
Quality87/100
Evidence: Low Range A$0.4700 – A$0.7900

Fair value as of: Jun 24, 2026

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Analysis

Dynamic Metals Limited (DYM) currently trades at A$0.4850, while our model-based Fair Value estimate is A$0.6300 — implying the stock looks roughly 29.9% undervalued today. We read business quality at 87/100 (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

Dynamic Metals Limited engages in the exploration and development of minerals in Western Australia and Tasmania. The company explores for lithium, nickel, gold, copper, magnesite, palladium, and platinum deposits. Dynamic Metals Limited was incorporated in 2022 and is based in West Perth, Australia.

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Frequently asked questions

Is Dynamic Metals Limited (DYM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.6300 versus a price of A$0.4850 — about +30% (undervalued). Model-based estimate, not financial advice.
What is the fair value of DYM?
Our 21-model fair value for Dynamic Metals Limited is A$0.6300 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.4850.
What is the quality score of DYM?
Dynamic Metals Limited has a Quality Score of 87/100, 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.