COSCO SHIPPING Energy Transportation Co (CSDXF) Fair Value & Analysis
Energy · US · Market cap $9.6B
Fair value as of: Jun 24, 2026
Analysis
COSCO SHIPPING Energy Transportation Co (CSDXF) currently trades at $1.75, while our model-based Fair Value estimate is $1.33 — implying the stock looks roughly 24.0% overvalued today. We read business quality at 90/100 (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
COSCO SHIPPING Energy Transportation Co., Ltd., an investment holding company, engages in the transportation of oil and liquefied natural gas (LNG) in People's Republic of China and internationally. It is involved in chartering of vessels; shipment of liquefied petroleum gas; and provision of shipping agency services. As of December 31, 2025, the company owned 155 oil tankers with a total capacity of 22.576 million deadweight tons (DWT); 18 tankers under construction awaiting delivery, with a total deadweight tonnage of 2.961 million tons; and 6 bareboat chartered VLCCs awaiting delivery, with a total deadweight tonnage of 1.842 million tons, as well as invested in 87 LNG vessels, which includes 63 LNG vessels with a capacity of 10.662 million cubic meters; 24 LNG vessels under construction awaiting delivery with a capacity of 4.375 million cubic meters, and one bareboat chartered LNG vessel with a capacity of 174,000 cubic meters; and 1 bareboat charter ship with a capacity of 174,…
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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.