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Digital Commodities Inc (DGCMF) Fair Value & Analysis

Financial Services · US · Market cap $2.8M

Price$0.0148
Fair Value$0.0141
Upside-4.8%
Quality91/100
Evidence: Low Range $0.0141 – $0.0141

Fair value as of: Jun 26, 2026

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Analysis

Digital Commodities Inc (DGCMF) currently trades at $0.0148, while our model-based Fair Value estimate is $0.0141 — implying the stock looks roughly 4.8% overvalued today. We read business quality at 91/100 (high quality), in the Financial Services 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

Digital Commodities Inc. operates as an investment issuer in Canada. It invests in digital and physical non-fiat assets, and businesses and private and publicly listed entities with a focus on hard commodities, cryptocurrencies, and the resource sector. The company was formerly known as Digital Commodities Capital Corp. and changed its name to Digital Commodities Inc. in September 2025. Digital Commodities Inc. is based in Vancouver, Canada.

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Frequently asked questions

Is Digital Commodities Inc (DGCMF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0141 versus a price of $0.0148 — about −5% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DGCMF?
Our 21-model fair value for Digital Commodities Inc is $0.0141 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0148.
What is the quality score of DGCMF?
Digital Commodities Inc has a Quality Score of 91/100, 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.