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Peregrine Gold Limited (PGD) Fair Value & Analysis

Basic Materials · AU · Market cap A$10.9M

PriceA$0.1100
Fair ValueA$0.0300
Upside-72.7%
Quality95/100
Evidence: Low Range A$0.0200 – A$0.0400

Fair value as of: Jun 26, 2026

Analysis

Peregrine Gold Limited (PGD) currently trades at A$0.1100, while our model-based Fair Value estimate is A$0.0300 — implying the stock looks roughly 72.7% 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

Peregrine Gold Limited, together with its subsidiaries, engages in the exploration of minerals in Australia. It explores for gold, lithium, iron, silver, base metal, and precious metal deposits. Peregrine Gold Limited was incorporated in 2020 and is based in Perth, Australia.

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Frequently asked questions

Is Peregrine Gold Limited (PGD) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0300 versus a price of A$0.1100 — about −73% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PGD?
Our 21-model fair value for Peregrine Gold Limited is A$0.0300 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.1100.
What is the quality score of PGD?
Peregrine Gold 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.