Coronado Global Resources Inc (CODQL) Fair Value & Analysis
Basic Materials · US · Market cap $310M
Fair value as of: Jun 26, 2026
Analysis
Coronado Global Resources Inc (CODQL) currently trades at $0.1821, while our model-based Fair Value estimate is $0.0400 — implying the stock looks roughly 78.0% overvalued today. We read business quality at 95/100 (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
Coronado Global Resources Inc., together with its subsidiaries, produces, markets, and exports metallurgical coal in Asia, North America, South America, Europe, and Australia. The company owns 100% interests in the Curragh mining property located in the Bowen Basin of Queensland, Australia; and the Buchanan and the Logan properties, as well as development mining properties comprising the Mon Valley and the Russell County properties primarily located in the Central Appalachian region of the United States. It also owns and controls a portfolio of operating mines and development projects in Queensland, Australia. The company was founded in 2011 and is headquartered in Brisbane, Australia. Coronado Global Resources Inc. operates as a subsidiary of Coronado Group LLC.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Coronado Global Resources Inc (CODQL) undervalued?
What is the fair value of CODQL?
What is the quality score of CODQL?
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.