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Green Shift Commodities Ltd (GCOM) Fair Value & Analysis

Consumer Cyclical · CA · Market cap €6.2M

Price€0.5100
Fair Value€0.7900
Upside+54.9%
Quality95/100
Evidence: Low Range €0.5900 – €0.9900

Fair value as of: Jun 24, 2026

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Analysis

Green Shift Commodities Ltd (GCOM) currently trades at €0.5100, while our model-based Fair Value estimate is €0.7900 — implying the stock looks roughly 54.9% undervalued today. We read business quality at 95/100 (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: low) — always confirm before acting.

About the company

Green Shift Commodities Ltd. engages in investment, exploration, and development of uranium, lithium, and battery commodity minerals in South America and Canada. It holds 100% interests in the Armstrong project that consists of 90 claims covering an area of approximately 1,800 hectares located in Ontario, Canada. The company was formerly known as U308 Corp. and changed its name to Green Shift Commodities Ltd. in October 2022. Green Shift Commodities Ltd. was incorporated in 2005 and is based in Toronto, Canada.

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Frequently asked questions

Is Green Shift Commodities Ltd (GCOM) undervalued?
As of Jun 24, 2026, our model estimates a fair value of €0.7900 versus a price of €0.5100 — about +55% (undervalued). Model-based estimate, not financial advice.
What is the fair value of GCOM?
Our 21-model fair value for Green Shift Commodities Ltd is €0.7900 (as of Jun 24, 2026), built from audited fundamentals. The current price is €0.5100.
What is the quality score of GCOM?
Green Shift Commodities Ltd 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.