China International Marine Containers (Group) Co (000039) Fair Value & Analysis
Industrials · CN · Market cap 50.7B CNY
Analysis
China International Marine Containers (Group) Co (000039) currently trades at ¥8.98, while our model-based Fair Value estimate is ¥6.57 — implying the stock looks roughly 26.8% overvalued today. We read business quality at 80/100 (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: medium).
About the company
China International Marine Containers (Group) Co., Ltd., together with its subsidiaries, manufactures and sells logistics and energy equipment in China, America, Europe, Asia, and internationally. The company operates through Containers Manufacturing; Road Transportation Vehicles; Energy, Chemical and Liquid Food Equipment; Offshore Engineering; Airport Facilities and Logistics Equipment, Fire Safety and Rescue Equipment; Logistics Services; Finance and Asset Management; Recycled Load; and Others segments. It offers energy, chemical, and liquid food equipment. The company also designs and constructs semi-submersible drilling and jack-up drilling platforms, as well as provides maintenance and reconstruction services for its platforms. In addition, it provides dry, reefer, and special-purpose containers; semi-trailers, EV-DTB truck body products, and EV tractors and trailers; seaport passenger boarding bridges, airport baggage handling system, special vehicles for airport ground, air …
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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.