Jiangsu Guotai International Group (002091) Fair Value & Analysis
Industrials · CN · Market cap 12.9B CNY
Analysis
Jiangsu Guotai International Group (002091) currently trades at ¥7.66, while our model-based Fair Value estimate is ¥5.64 — implying the stock looks roughly 26.4% 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 Guotai International Group Co., Ltd., together with its subsidiaries, provides supply chain services in China and internationally. The company operates through three segments: Trading, New Energy, and Other. It engages in the import and export trade of daily consumer goods, including textiles and apparel, chemicals and pharmaceuticals, light industry and machinery, toys, automobiles, food, and textile raw materials. The company is also involved in the research, development, production, and sale of electronic chemicals, such as lithium-ion battery electrolytes and additives, supercapacitor electrolytes, and optical materials; and organosilicon materials comprising silicone oil, silicone rubber, silicone resin, and silane coupling agents. In addition, it engages in investment management and consulting; technical services; logistics; financial services; and property management. The company was formerly known as Jiangsu Guotai International Group Guomao Co., Ltd. and changed its…
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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.