Eco (Atlantic) Oil & Gas Ltd (ECAOF) Fair Value & Analysis
Energy · US · Market cap $227M
Fair value as of: Jun 24, 2026
Analysis
Eco (Atlantic) Oil & Gas Ltd (ECAOF) currently trades at $0.6200, while our model-based Fair Value estimate is $0.1000 — implying the stock looks roughly 83.9% overvalued today. We read business quality at 95/100 (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: low).
About the company
Eco (Atlantic) Oil & Gas Ltd. engages in the identifying, acquiring, and exploring oil and gas assets in the Co-Operative Republic of Guyana, Republic of Namibia, and South Africa. The company holds a 100% working interest in the Orinduik block comprising 1,354 square kilometers located in the Suriname Guyana basin; and 17.5% interests in the Canje Block covering an area of 4,800 square kilometers located in Guyana. It also holds 85% working interest in the Cooper Block, which covers an area of approximately 5,788 square kilometers; Sharon Block, which covers an area of approximately 5,700 square kilometers; Guy License covering an area of approximately 11,457 square kilometers; and Tamar Block that covers an area of approximately 5,649 square kilometers located in the Walvis Basin offshore, Namibia. In addition, the company holds two offshore petroleum licenses in South Africa, including 2B Block and the 3B/4B Block. Eco (Atlantic) Oil & Gas Ltd. is headquartered in Toronto, Canada.
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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.