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S2 Resources Ltd (S2R) Fair Value & Analysis

Basic Materials · AU · Market cap A$31.4M

PriceA$0.0560
Fair ValueA$0.0302
Upside-46.0%
Quality95/100
Evidence: Low Range A$0.0302 – A$0.0358

Fair value as of: Jun 26, 2026

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Analysis

S2 Resources Ltd (S2R) currently trades at A$0.0560, while our model-based Fair Value estimate is A$0.0302 — implying the stock looks roughly 46.0% 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

S2 Resources Ltd engages in the exploration and evaluation of mineral properties in Australia and Finland. It primarily explores for gold, nickel, copper, base metals, palladium, and platinum-group elements deposits. S2 Resources Ltd was incorporated in 2015 and is based in Darch, Australia.

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Frequently asked questions

Is S2 Resources Ltd (S2R) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0302 versus a price of A$0.0560 — about −46% (overvalued). Model-based estimate, not financial advice.
What is the fair value of S2R?
Our 21-model fair value for S2 Resources Ltd is A$0.0302 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0560.
What is the quality score of S2R?
S2 Resources 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.