Pampa Energía S.A (PPENF) Fair Value & Analysis
Industrials · US · Market cap $3.6B
Analysis
Pampa Energía S.A (PPENF) currently trades at $2.65, while our model-based Fair Value estimate is $4.77 — implying the stock looks roughly 80.0% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Pampa Energía S.A. operates as an integrated power company in Argentina. The company operates through Oil and Gas; Generation; Petrochemicals; and Holding, Transportation and Others segments. It generates electricity through thermal plants, hydroelectric plants, and wind farms with a 5,472 megawatt (MW) installed capacity. The company also explores for and produces oil and gas in the provinces of Neuquén and Río Negro. In addition, it produces petrochemicals, such as styrene, synthetic rubber, and polystyrene. Further, the company operates and maintains a 22,445 km high-voltage electricity transmission network in Argentina. Additionally, it holds a concession for the transportation of natural gas with 9,248 km of gas pipelines in the center, west, and south of Argentina; and processes and sells natural gas liquids in Bahía Blanca in the Province of Buenos Aires, as well as offers related advisory services. Pampa Energía S.A. was formerly known as Pampa Holding S.A. and changed its n…
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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.