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Group Eleven Resources Corp (GRLVF) Fair Value & Analysis

Basic Materials · US · Market cap $175M

Price$0.5572
Fair Value$0.1000
Upside-82.1%
Quality80/100
Evidence: Low Range $0.0700 – $0.1200

Fair value as of: Jun 24, 2026

Analysis

Group Eleven Resources Corp (GRLVF) currently trades at $0.5572, while our model-based Fair Value estimate is $0.1000 — implying the stock looks roughly 82.1% overvalued today. We read business quality at 80/100 (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

Group Eleven Resources Corp., together with its subsidiaries, engages in the acquisition, exploration, and evaluation of mineral properties in Ireland. It explores for zinc, lead, silver, copper, germanium, and antimony deposits. The company was founded in 2015 and is based in Vancouver, Canada.

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Frequently asked questions

Is Group Eleven Resources Corp (GRLVF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.1000 versus a price of $0.5572 — about −82% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GRLVF?
Our 21-model fair value for Group Eleven Resources Corp is $0.1000 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.5572.
What is the quality score of GRLVF?
Group Eleven Resources Corp has a Quality Score of 80/100, 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.