Qingdao Port International Co (QNDPF) Fair Value & Analysis
Industrials · US · Market cap $5.7B
Analysis
Qingdao Port International Co (QNDPF) currently trades at $0.8738, while our model-based Fair Value estimate is $2.07 — implying the stock looks roughly 136.9% undervalued today. We read business quality at 84/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Qingdao Port International Co., Ltd. operates the Port of Qingdao. It operates through five segments: Container Handling and Supporting Services; Dry Bulk Cargo Handling and Related Services; Liquid Bulk Handling and Supporting Services; Logistics and Port Value-Added Services; and Port Auxiliary Services. The company is involved in the loading and discharging of containers, loading, unloading, storage, transportation, and port management of crude oil and other liquid bulk cargoes metal ores, coal, grains, general cargo, and other goods. It also provides storage services; and container freight station, cargo logistics, agency, towing, tallying, facilities construction, and other services. In addition, the company manufactures port-related equipment; and supplies electricity, power, fuel, and other products. Further, it offers tugboat and barging, and ocean shipping tallying services; and security, emergency, and handling. Additionally, the company provides shipping repair and agency…
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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.