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Platina Resources Limited (PGM) Fair Value & Analysis

Basic Materials · AU · Market cap A$12.9M

PriceA$0.0180
Fair ValueA$0.0184
Upside+2.0%
Quality95/100
Evidence: Low Range A$0.0166 – A$0.0184

Fair value as of: Jun 26, 2026

Analysis

Platina Resources Limited (PGM) currently trades at A$0.0180, while our model-based Fair Value estimate is A$0.0184 — implying the stock looks roughly 2.0% undervalued today. We read business quality at 95/100 (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

Platina Resources Limited acquires, explores for, and develops precious metals and other mineral deposits in Australia. It explores for platinum group metals, zinc and gold, and base metals. Platina Resources Limited was incorporated in 2006 and is headquartered in Mount Hawthorn, Australia.

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Frequently asked questions

Is Platina Resources Limited (PGM) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0184 versus a price of A$0.0180 — about +2% (undervalued). Model-based estimate, not financial advice.
What is the fair value of PGM?
Our 21-model fair value for Platina Resources Limited is A$0.0184 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0180.
What is the quality score of PGM?
Platina Resources 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.