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Silver Tiger Metals Inc (SLVTF) Fair Value & Analysis

Basic Materials · US · Market cap $326M

Price$0.5300
Fair Value$0.3000
Upside-43.4%
Quality95/100
Evidence: Low Range $0.2300 – $0.3800

Fair value as of: Jun 24, 2026

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Analysis

Silver Tiger Metals Inc (SLVTF) currently trades at $0.5300, while our model-based Fair Value estimate is $0.3000 — implying the stock looks roughly 43.4% 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

Silver Tiger Metals Inc. engages in the exploration and evaluation of mineral properties in Mexico. The company explores for gold, silver, copper, lead, and zinc deposits. It holds 100% interest in the El Tigre property consist of 59 Mexican federal mining concessions covering an area of approximately 28,414 hectares located in Sonora, Mexico. The company was formerly known as Oceanus Resources Corporation and changed its name to Silver Tiger Metals Inc. in May 2020. Silver Tiger Metals Inc. was incorporated in 2010 and is headquartered in Halifax, Canada.

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Frequently asked questions

Is Silver Tiger Metals Inc (SLVTF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.3000 versus a price of $0.5300 — about −43% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SLVTF?
Our 21-model fair value for Silver Tiger Metals Inc is $0.3000 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.5300.
What is the quality score of SLVTF?
Silver Tiger Metals Inc 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.