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Otto Energy Limited (OEL) Fair Value & Analysis

Energy · AU · Market cap A$28.8M

PriceA$0.0060
Fair ValueA$0.0062
Upside+4.0%
Quality95/100
Evidence: Medium Range A$0.0062 – A$0.0062

Fair value as of: Jun 26, 2026

Analysis

Otto Energy Limited (OEL) currently trades at A$0.0060, while our model-based Fair Value estimate is A$0.0062 — implying the stock looks roughly 4.0% undervalued today. We read business quality at 95/100 (high quality), in the Energy 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: medium) — always confirm before acting.

About the company

Otto Energy Limited operates as an oil and gas exploration, production, and sales company in North America. The company was formerly known as Ottoman Energy Limited and changed its name to Otto Energy Limited in August 2006. The company was incorporated in 2004 and is based in Adelaide, Australia

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Frequently asked questions

Is Otto Energy Limited (OEL) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0062 versus a price of A$0.0060 — about +4% (undervalued). Model-based estimate, not financial advice.
What is the fair value of OEL?
Our 21-model fair value for Otto Energy Limited is A$0.0062 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0060.
What is the quality score of OEL?
Otto Energy Limited 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.