Capital Clean Energy Carriers Corp (CCEC) Fair Value & Analysis
Industrials · US · Market cap $1.4B
Analysis
Capital Clean Energy Carriers Corp (CCEC) currently trades at $20.21, while our model-based Fair Value estimate is $17.06 — implying the stock looks roughly 15.6% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Capital Clean Energy Carriers Corp., a shipping company, provides marine transportation services in Greece. The company also produces and distributes oil and natural gas, including biofuels, motor oil, lubricants, petrol, crudes, liquefied natural gas, marine fuels, natural gas liquids, and petrochemicals. As of December 31, 2025, it owns a fleet of 15 vessels on the water consisting of 12 liquified natural gas carriers with 1.0 million dead weight ton (DWT) and total capacity of 2.1 million cubic meter (CBM), and one Neo-Panamax container carrier vessels with 0.1 million dead weight ton (DWT) and total twenty-foot equivalent units (TEU) capacity of 13,312. It also engages in constructing, chartering, and operating LNG bunkering vessel. The company was formerly known as Capital Product Partners L.P. and changed its name to Capital Clean Energy Carriers Corp. in August 2024. Capital Clean baiEnergy Carriers Corp. was incorporated in 2007 and is headquartered in Piraeus, Greece.
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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.