Naturgy Energy Group (GASNF) Fair Value & Analysis
Utilities · US · Market cap $28.2B
Analysis
Naturgy Energy Group (GASNF) currently trades at $33.67, while our model-based Fair Value estimate is $39.47 — implying the stock looks roughly 17.2% undervalued today. We read business quality at 87/100 (high quality), in the Utilities 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
Naturgy Energy Group, S.A., together with its subsidiaries, engages in the supply, liquefaction, regasification, transport, storage, distribution, and sale of gas. It operates through Distribution Networks and Energy Markets segments. The company is involved in the regulated gas and electricity distribution; management of transport infrastructure; trade and shipping of liquefied natural gas; supply, procurement, and management of other gas infrastructure; and management of gas pipeline. It also manages conventional thermal generation facilities; facilities and generation projects using wind energy, mini hydro, solar and cogeneration, as well as hydroelectric power; photovoltaic generation projects; and renewable electricity generation projects. In addition, the company is involved in renewable gas projects, such as biomethane and green hydrogen; supply of gas, electricity and services to end customers. It operates in Spain, Australia, the United States, Argentina, Brazil, Chile, Mex…
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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.