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Silver Mines Limited (SLVMF) Fair Value & Analysis

Consumer Defensive · US · Market cap $176M

Price$0.1000
Fair Value$0.0100
Upside-90.0%
Quality95/100
Evidence: Low Range $0.0100 – $0.0100

Fair value as of: Jun 26, 2026

Analysis

Silver Mines Limited (SLVMF) currently trades at $0.1000, while our model-based Fair Value estimate is $0.0100 — implying the stock looks roughly 90.0% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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

Silver Mines Limited, together with its subsidiaries, engages in the acquisition, exploration, and development of silver projects in Australia. It operates through two segments, Mining and Exploration Operations; and Agricultural Operations. The company explores for copper, gold, lead, zinc, and polymetallic deposits. Its flagship project is the Bowdens silver project, which covers an area of approximately 2,115 square kilometers located near Mudgee in the Central Tablelands Region of New South Wales. In addition, the company sells livestock and wool. Silver Mines Limited was incorporated in 2004 and is based in Sydney, Australia.

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Frequently asked questions

Is Silver Mines Limited (SLVMF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0100 versus a price of $0.1000 — about −90% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SLVMF?
Our 21-model fair value for Silver Mines Limited is $0.0100 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.1000.
What is the quality score of SLVMF?
Silver Mines 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.