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Jupiter Mines Limited (JMS) Fair Value & Analysis

Basic Materials · AU · Market cap A$511M

PriceA$0.2850
Fair ValueA$0.1700
Upside-40.4%
Quality97/100
Evidence: High Range A$0.0800 – A$0.2600

Fair value as of: Jun 24, 2026

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Analysis

Jupiter Mines Limited (JMS) currently trades at A$0.2850, while our model-based Fair Value estimate is A$0.1700 — implying the stock looks roughly 40.4% overvalued today. We read business quality at 97/100 (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: high).

About the company

Jupiter Mines Limited operates as an independent mining company in Australia. It explores for manganese deposits. The company's flagship project is the Tshipi Manganese mine located in the Northern Cape of South Africa. Jupiter Mines Limited was incorporated in 2003 and is based in Perth, Australia.

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Frequently asked questions

Is Jupiter Mines Limited (JMS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.1700 versus a price of A$0.2850 — about −40% (overvalued). Model-based estimate, not financial advice.
What is the fair value of JMS?
Our 21-model fair value for Jupiter Mines Limited is A$0.1700 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.2850.
What is the quality score of JMS?
Jupiter Mines Limited has a Quality Score of 97/100, 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.