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RTG Mining Inc (RTG) Fair Value & Analysis

Basic Materials · AU · Market cap A$78.7M

PriceA$0.0350
Fair ValueA$0.0200
Upside-42.9%
Quality80/100
Evidence: Low Range A$0.0100 – A$0.0200

Fair value as of: Jun 24, 2026

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Analysis

RTG Mining Inc (RTG) currently trades at A$0.0350, while our model-based Fair Value estimate is A$0.0200 — implying the stock looks roughly 42.9% overvalued today. We read business quality at 80/100 (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

RTG Mining Inc. engages in the exploration and development of mineral properties. The company explores for copper and gold deposits. Its principal property is the Mabilo project located in the Philippines. RTG Mining Inc. was incorporated in 2012 and is headquartered in Subiaco, Australia.

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Frequently asked questions

Is RTG Mining Inc (RTG) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.0200 versus a price of A$0.0350 — about −43% (overvalued). Model-based estimate, not financial advice.
What is the fair value of RTG?
Our 21-model fair value for RTG Mining Inc is A$0.0200 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.0350.
What is the quality score of RTG?
RTG Mining Inc has a Quality Score of 80/100, 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.