Energy Transfer LP, (ET) Fair Value & Analysis
Energy · US · Market cap $64.5B
Analysis
Energy Transfer LP, (ET) currently trades at $19.22, while our model-based Fair Value estimate is $17.69 — implying the stock looks roughly 8.0% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Energy Transfer LP, together with its subsidiaries, provides energy-related services in the United States. It operates through Intrastate Transportation and Storage; Interstate Transportation and Storage; Midstream; Natural Gas Liquid (NGL) and Refined Products Transportation and Services; Crude Oil Transportation and Services; Investment in Sunoco LP; Investment in USA Compression Partners, LP (USAC); and All Other segments. The company owns and operates natural gas transportation pipelines and storage facilities; and approximately 12,200 miles of intrastate natural gas transportation pipelines and 20,090 miles of interstate natural gas pipelines. It also sells natural gas to electric utilities, independent power plants, local distribution and other marketing companies, and industrial end-users. In addition, the company owns and operates natural gas gathering pipelines, processing plants, and treating and conditioning facilities; and natural gas gathering, compression, treating, de…
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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.