Energy One Limited (EOL) Fair Value & Analysis
Technology · AU · Market cap A$403M
Fair value as of: Jun 24, 2026
Analysis
Energy One Limited (EOL) currently trades at A$12.07, while our model-based Fair Value estimate is A$3.74 — implying the stock looks roughly 69.0% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: high).
About the company
Energy One Limited engages in the provision of software products, outsourced operations, and advisory services to wholesale energy, environmental, and carbon trading markets in the Australasia, and Europe. It offers egssPort Gas, a SaaS solution for gas shippers that handles natural gas and LNG operations; EnergyOffer, a bidding, offering, dispatch, and logistics solution; enFlow, a tool for automating and managing business processes, and for integrating systems; and enPrice, a scalable commodity retail pricing solution. The company also provides enTrader, an ETRM solution for energy markets; enVoy, a communications tool that provides an automated system for sending and receiving energy industry data; EOT that offers front, middle, and backoffice solutions; and eZ-Ops, an energy trading platform that focuses on automating physical gas, power logistics, and short-term portfolio. In addition, it offers NemSight, a Windows-based platform that displays information, including live prices…
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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.