Xiamen Port Development Co (000905) Fair Value & Analysis
Industrials · CN · Market cap 13.7B CNY
Analysis
Xiamen Port Development Co (000905) currently trades at ¥8.47, while our model-based Fair Value estimate is ¥2.80 — implying the stock looks roughly 66.9% 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
Xiamen Port Development Co., Ltd., together with its subsidiaries, engages in providing port terminals services in China. The company offers bulk cargo terminal loading and unloading, and storage; operates and leases berths; and port logistics services, including tugboat assistance for ships and cargoes entering and leaving the port, ship agency, cargo inspection and quarantine, customs declaration, air transport, trailer transport, container transport, and other services; and port value-added services, such as consolidation and distribution, warehousing and distribution, container storage, multimodal transport, land port, ocean express, cross-border e-commerce logistics, and other services. It also provides supply chain services comprising port trade, terminals, warehousing, agency, transportation, distribution, and other services. The company was formerly known as Xiamen Road and Bridge Corporation and changed its name to Xiamen Port Development Co., Ltd. in November 2004. The com…
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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.