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Founders Metals Inc (FDMIF) Fair Value & Analysis

Basic Materials · US · Market cap $329M

Price$2.72
Fair Value$1.97
Upside-27.6%
Quality95/100
Evidence: Low Range $1.48 – $2.46

Fair value as of: Jun 24, 2026

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Analysis

Founders Metals Inc (FDMIF) currently trades at $2.72, while our model-based Fair Value estimate is $1.97 — implying the stock looks roughly 27.6% 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

Founders Metals Inc. is involved in the exploration and development of mineral properties in Canada. It primarily explores for gold. The company's flagship project is the Antino Gold Project, covering an area of 20,000 hectares located in southeastern Suriname. Founders Metals Inc. is headquartered in Vancouver, Canada.

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Frequently asked questions

Is Founders Metals Inc (FDMIF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $1.97 versus a price of $2.72 — about −28% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FDMIF?
Our 21-model fair value for Founders Metals Inc is $1.97 (as of Jun 24, 2026), built from audited fundamentals. The current price is $2.72.
What is the quality score of FDMIF?
Founders 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.