Beijing Changjiu Logistics Co (603569) Fair Value & Analysis
Industrials · CN · Market cap 3.4B CNY
Analysis
Beijing Changjiu Logistics Co (603569) currently trades at ¥5.38, while our model-based Fair Value estimate is ¥6.53 — implying the stock looks roughly 21.4% undervalued today. We read business quality at 88/100 (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
Beijing Changjiu Logistics Co.,Ltd, together with its subsidiaries, provides logistics services for the automobile industry chain in China and internationally. The company offers vehicle logistics services, including road transportation, multimodal transportation, social vehicle, and warehousing solutions; and international services, such as railway, road, ocean shipping, and air, as well as value-added services comprising packaging, vehicle trade and logistics, overseas warehousing and distribution, overseas agency, customs clearance, and others. It also provides energy logistics; storage and charging integration services, which include planning and design, EPC engineering, intelligent operation and maintenance, integrated energy services, and integrated whole-link solutions; and power battery recycling. In addition, the company is involved in the international freight forwarding and shipping businesses; technology promotion and application; solar power generation technology; whole…
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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.