Shanghai Jin Jiang Online Network Service Co (600650) Fair Value & Analysis
Industrials · CN · Market cap 5.7B CNY
Analysis
Shanghai Jin Jiang Online Network Service Co (600650) currently trades at ¥10.16, while our model-based Fair Value estimate is ¥7.63 — implying the stock looks roughly 24.9% overvalued today. We read business quality at 89/100 (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
Shanghai Jin Jiang Online Network Service Co., Ltd. provides vehicle and logistics services in the People's Republic of China. The company engages in warehousing, loading and unloading, processing, packaging, and distribution of general goods, and related information processing and consulting activities; provision of supply chain, transportation, inventory, and procurement order management services; and computer software development and technical service activities, as well as domestic and international cargo transportation agency business. In addition, the company offers tourism and business, hotels, property management, office space rental, real estate development and management, and food management services, as well as shopping mall venues. The company was formerly known as Shanghai JinJiang International Industrial Investment Co.,Ltd. and changed its name to Shanghai Jin Jiang Online Network Service Co., Ltd. in March 2021. The company was founded in 1993 and is headquartered in…
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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.