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Asante Gold Corporation (ASE) Fair Value & Analysis

Technology · CA · Market cap 3.3B PLN

Price60.90 PLN
Fair Value76.41 PLN
Upside+25.5%
Quality95/100
Evidence: High Range 57.31 PLN – 95.51 PLN

Fair value as of: Jun 24, 2026

Analysis

Asante Gold Corporation (ASE) currently trades at 60.90 PLN, while our model-based Fair Value estimate is 76.41 PLN — implying the stock looks roughly 25.5% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: high) — always confirm before acting.

About the company

Asante Gold Corporation, a mineral exploration and gold production company, primarily involved in the assessment, acquisition, development, and operation of mines in the Republic of Ghana. It explores gold deposits. The company was incorporated in 2011 and is headquartered in Vancouver, Canada.

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Frequently asked questions

Is Asante Gold Corporation (ASE) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 76.41 PLN versus a price of 60.90 PLN — about +25% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ASE?
Our 21-model fair value for Asante Gold Corporation is 76.41 PLN (as of Jun 24, 2026), built from audited fundamentals. The current price is 60.90 PLN.
What is the quality score of ASE?
Asante Gold Corporation 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.