Huasi Holding (002494) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 1.9B CNY
Fair value as of: Jun 25, 2026
Analysis
Huasi Holding (002494) currently trades at ¥4.74, while our model-based Fair Value estimate is ¥1.20 — implying the stock looks roughly 74.7% overvalued today. We read business quality at 93/100 (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
Huasi Holding Company Limited operates in the fur industry in China, Europe, Russia, the United States, Japan, South Korea, Hong Kong, and internationally. The company offers fur skins, fur fabrics, fur accessories, fur clothing, and fashion products. It also involved in the research and development, manufacturing, and sale of apparel; manufacturing and selling of leather products; retailing of clothing and apparel; fur tanning and processing activities; import and export of goods and technology; acquisition of livestock and poultry; leasing of non-residential real estate; provision of general cargo warehousing services, as well as commercial complex management services; property, park, and brand management activities; and sale of agricultural and related products, as well as offers woven and fashion clothing. The company was formerly known as Huasi Agricultural Development Company Limited and changed its name to Huasi Holding Company Limited in June 2015. Huasi Holding Company Limi…
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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.