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Jiangsu Lianyungang Port Co (601008) Fair Value & Analysis

Industrials · CN · Market cap 5.5B CNY

Price¥4.28
Fair Value¥2.89
Upside-32.5%
Quality80/100
Evidence: Medium Range ¥1.80 – ¥3.61

Analysis

Jiangsu Lianyungang Port Co (601008) currently trades at ¥4.28, while our model-based Fair Value estimate is ¥2.89 — implying the stock looks roughly 32.5% 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

Jiangsu Lianyungang Port Co., Ltd. engages in the development and operation of terminals, docks, and supporting facilities in China and internationally. The company primarily transports iron ore, coal, non-ferrous ore, laterite nickel ore, steel, plywood, machinery and equipment, grain, alumina, and coke. It is also involved in cargo loading and unloading, light transport, and warehousing operations within the port area; supply chain management and freight forwarding; transshipment of bulk cargo; operation of passenger and cargo liner shipping services; shipping agency; waterway general cargo transportation; road freight transportation; motor vehicle inspection and testing services; and used car auction activities. The company was founded in 2001 and is based in Lianyungang, China. Jiangsu Lianyungang Port Co., Ltd. operates as a subsidiary of Lianyungang Port Group Co., Ltd.

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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.