China Sports Industry Group (600158) Fair Value & Analysis
Industrials · CN · Market cap 8.1B CNY
Analysis
China Sports Industry Group (600158) currently trades at ¥7.52, while our model-based Fair Value estimate is ¥4.00 — implying the stock looks roughly 46.8% 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
China Sports Industry Group Co., Ltd. engages in the real estate and sports businesses in China and Internationally. The company offers real estate development and management; brand management and information services; event hosting and sports information technology consulting; sprots event planning and information consultation; sports brokerage, project management, and sports training; air passenger and freight forwarding; fitness services; and sale of sports equipment. It also involved in the certification services, technical testing, and technical development and consulting; printed matter printing; technical services, technical training, and data processing services; computer software and hardware sales; and architectural engineering design. In addition, the company engages in equity and project investment; investment and fund management; organizing sports competitions, conference services, hosting exhibitions, engaging in sports economic business, and basic software services, a…
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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.