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Denarius Metals Corp (DNRSF) Fair Value & Analysis

Basic Materials · US · Market cap $94.1M

Price$0.4100
Fair Value$0.5700
Upside+39.0%
Quality95/100
Evidence: Low Range $0.4200 – $0.7100

Fair value as of: Jun 24, 2026

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Analysis

Denarius Metals Corp (DNRSF) currently trades at $0.4100, while our model-based Fair Value estimate is $0.5700 — implying the stock looks roughly 39.0% 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: low) — always confirm before acting.

About the company

Denarius Metals Corp. engages in the acquisition, exploration, development, and operation of mineral properties in Spain and Colombia. It explores for copper, zinc, lead, gold, silver, nickel, cobalt, platinum, and palladium deposits. Denarius Metals Corp. is headquartered in Toronto, Canada.

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Frequently asked questions

Is Denarius Metals Corp (DNRSF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.5700 versus a price of $0.4100 — about +39% (undervalued). Model-based estimate, not financial advice.
What is the fair value of DNRSF?
Our 21-model fair value for Denarius Metals Corp is $0.5700 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.4100.
What is the quality score of DNRSF?
Denarius Metals Corp 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.