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TriStar Gold, Inc (TSG) Fair Value & Analysis

Consumer Cyclical · CA · Market cap 7.5B ZAC

Price7.67 ZAC
Fair Value28.09 ZAC
Upside+266.2%
Quality96/100
Evidence: High Range 15.47 ZAC – 36.70 ZAC

Fair value as of: Jun 26, 2026

Analysis

TriStar Gold, Inc (TSG) currently trades at 7.67 ZAC, while our model-based Fair Value estimate is 28.09 ZAC — implying the stock looks roughly 266.2% undervalued today. We read business quality at 96/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.

About the company

TriStar Gold, Inc. engages in the acquisition, exploration, and development of precious metal prospects in the Americas. Its flagship property includes the 100% owned Castelo de Sonhos gold project located in Pará State, Brazil. TriStar Gold, Inc. was incorporated in 2010 and is based in Scottsdale, Arizona.

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Frequently asked questions

Is TriStar Gold, Inc (TSG) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 28.09 ZAC versus a price of 7.67 ZAC — about +266% (undervalued). Model-based estimate, not financial advice.
What is the fair value of TSG?
Our 21-model fair value for TriStar Gold, Inc is 28.09 ZAC (as of Jun 26, 2026), built from audited fundamentals. The current price is 7.67 ZAC.
What is the quality score of TSG?
TriStar Gold, Inc has a Quality Score of 96/100, 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.