Geo Energy Resources Limited (GRYRF) Fair Value & Analysis
Energy · US · Market cap $650M
Analysis
Geo Energy Resources Limited (GRYRF) currently trades at $0.3647, while our model-based Fair Value estimate is $0.2600 — implying the stock looks roughly 28.7% overvalued today. We read business quality at 83/100 (high quality), in the Energy 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: medium).
About the company
Geo Energy Resources Limited, an investment holding company, engages in the mining, production, and trading of coal. The company operates through three segments: Coal Mining, Coal Trading, and Mining Services. The Coal Mining segment engages in the production and sale of coal. The Coal Trading segment is involved in the purchase and sale of coal from third parties. The Mining Services segment provides mining contracting and project management services for mining activities conducted at third party mines. The company also engages in road and jetty infrastructure, and marine logistics. In addition, it engages in the power generation and general trading activities; construction and transportation services; and operates as a multimedia supplier, as well as offers business and management consultant services. The company operates in China, Indonesia, South Korea, India, Vietnam, and the Philippines. Geo Energy Resources Limited was founded in 2008 and is based in Singapore.
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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.