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Kingston Resources Limited (KSN) Fair Value & Analysis

Basic Materials · AU · Market cap A$73.2M

PriceA$0.0320
Fair ValueA$0.0410
Upside+28.0%
Quality95/100
Evidence: Medium Range A$0.0346 – A$0.0474

Fair value as of: Jun 26, 2026

Analysis

Kingston Resources Limited (KSN) currently trades at A$0.0320, while our model-based Fair Value estimate is A$0.0410 — implying the stock looks roughly 28.0% 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: medium) — always confirm before acting.

About the company

Kingston Resources Limited engages in the productions, mining, and exploration of mineral properties in Australia and Papua New Guinea. It explores for gold, copper, zinc, lead, and silver deposits. The company's property is the Mineral Hill Mine project located in the Cobar Basin of New South Wales. Kingston Resources Limited was incorporated in 1985 and is based in North Sydney, Australia.

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Frequently asked questions

Is Kingston Resources Limited (KSN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0410 versus a price of A$0.0320 — about +28% (undervalued). Model-based estimate, not financial advice.
What is the fair value of KSN?
Our 21-model fair value for Kingston Resources Limited is A$0.0410 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0320.
What is the quality score of KSN?
Kingston 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.