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Harfang Exploration Inc (HRFEF) Fair Value & Analysis

Basic Materials · US · Market cap $4.0M

Price$0.0350
Fair Value$0.0368
Upside+5.0%
Quality95/100
Evidence: Low Range $0.0368 – $0.0368

Fair value as of: Jun 26, 2026

Analysis

Harfang Exploration Inc (HRFEF) currently trades at $0.0350, while our model-based Fair Value estimate is $0.0368 — implying the stock looks roughly 5.0% 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

Harfang Exploration Inc., an exploration and evaluation stage company, engages in acquiring and exploring mineral properties in Canada. The company explores gold, lithium, silver, chromium, platinum, palladium, nickel, and copper deposits. Harfang Exploration Inc. is headquartered in Montreal, Canada.

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Frequently asked questions

Is Harfang Exploration Inc (HRFEF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0368 versus a price of $0.0350 — about +5% (undervalued). Model-based estimate, not financial advice.
What is the fair value of HRFEF?
Our 21-model fair value for Harfang Exploration Inc is $0.0368 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0350.
What is the quality score of HRFEF?
Harfang Exploration 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.