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Awalé Resources Limited (ARIC) Fair Value & Analysis

Basic Materials · CA · Market cap C$91.6M

PriceC$0.7200
Fair ValueC$0.4500
Upside-37.5%
Quality94/100
Evidence: Low Range C$0.3400 – C$0.5600

Fair value as of: Jun 24, 2026

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Analysis

Awalé Resources Limited (ARIC) currently trades at C$0.7200, while our model-based Fair Value estimate is C$0.4500 — implying the stock looks roughly 37.5% overvalued today. We read business quality at 94/100 (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

Awalé Resources Limited engages in the acquisition, exploration, and development of mineral properties in Côte d'Ivoire. It primarily explores for gold, copper, and other precious metals. The company's flagship project is the Odienné Project which covers approximately 2,346 square kilometers located in Denguèlé Region of Côte d'Ivoire. The company was formerly known as Spada Gold Ltd. and changed its name to Awalé Resources Limited in December 2017. Awalé Resources Limited was incorporated in 2015 and is headquartered in Toronto, Canada.

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Frequently asked questions

Is Awalé Resources Limited (ARIC) undervalued?
As of Jun 24, 2026, our model estimates a fair value of C$0.4500 versus a price of C$0.7200 — about −38% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ARIC?
Our 21-model fair value for Awalé Resources Limited is C$0.4500 (as of Jun 24, 2026), built from audited fundamentals. The current price is C$0.7200.
What is the quality score of ARIC?
Awalé Resources Limited has a Quality Score of 94/100, 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.