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Hunan Huasheng CO.,Ltd (600156) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 3.7B CNY

Price¥9.04
Fair Value¥3.73
Upside-58.7%
Quality93/100
Evidence: Low Range ¥2.80 – ¥4.67

Fair value as of: Jun 24, 2026

Analysis

Hunan Huasheng CO.,Ltd (600156) currently trades at ¥9.04, while our model-based Fair Value estimate is ¥3.73 — implying the stock looks roughly 58.7% 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: low).

About the company

Hunan Huasheng CO.,Ltd engages in the research, development, production, and sale of textile products in China. The company offers ramie and its blends with cotton and chemical fibers, including yarn, fabric, printed and dyed fabric, clothing, and other textiles and chemical fiber products. It sells its products under the Xuesong, Dongting, Jinshuang, DT Brand Bama Yarn, Huasheng Natural Family, Shanhaiyou, Isle Bay Linens, and ROSS&FRECKLE brand names. Hunan Huasheng CO.,Ltd was founded in 1998 and is headquartered in Changsha, China.

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Frequently asked questions

Is Hunan Huasheng CO.,Ltd (600156) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥3.73 versus a price of ¥9.04 — about −59% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600156?
Our 21-model fair value for Hunan Huasheng CO.,Ltd is ¥3.73 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥9.04.
What is the quality score of 600156?
Hunan Huasheng CO.,Ltd has a Quality Score of 93/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.