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Panther Metals Ltd (PNT) Fair Value & Analysis

Basic Materials · AU · Market cap A$2.9M

PriceA$0.0070
Fair ValueA$0.0061
Upside-12.9%
Quality95/100
Evidence: Low Range A$0.0044 – A$0.0079

Fair value as of: Jun 25, 2026

Analysis

Panther Metals Ltd (PNT) currently trades at A$0.0070, while our model-based Fair Value estimate is A$0.0061 — implying the stock looks roughly 12.9% 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

Panther Metals Ltd explores for mineral properties in Australia. The company explores for nickel, cobalt, and gold deposits. Its flagship property is the Coglia nickel-cobalt project located in Western Australia. Panther Metals Ltd was incorporated in 2016 and is based in Perth, Australia.

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Frequently asked questions

Is Panther Metals Ltd (PNT) undervalued?
As of Jun 25, 2026, our model estimates a fair value of A$0.0061 versus a price of A$0.0070 — about −13% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PNT?
Our 21-model fair value for Panther Metals Ltd is A$0.0061 (as of Jun 25, 2026), built from audited fundamentals. The current price is A$0.0070.
What is the quality score of PNT?
Panther Metals Ltd 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.