Shanghai Yimin Commercial Group (600824) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 3.9B CNY
Analysis
Shanghai Yimin Commercial Group (600824) currently trades at ¥3.49, while our model-based Fair Value estimate is ¥1.77 — implying the stock looks roughly 49.3% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high).
About the company
Shanghai Yimin Commercial Group Co., Ltd. engages in the commercial wholesale and retail, commercial property leasing, and catering and tourism businesses in China. It is involved in the domestic trade, photography, computer rental, self-owned housing rental, real estate sales, industrial investment, self-operation and agency, and import and export business of various commodities and technologies. The company also engages in hotels, catering and tourism, industrial investment, and other businesses, as well as commercial property leasing and operation; retail and wholesale of glasses, watches and accessories, clothing, shoes, hats, toys, etc.; and retail of daily necessities. In addition, it offers commercial wholesale and retail products under the Gujin Underwear, Tianbao Longfeng, Xingguang Photography, and Shanghai Bedding brands. Further, the company provides underwear, gold and silver jewelry, photographic equipment, bedding, property leasing, hotel catering and tourism, and eld…
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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.