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Sichuan Langsha Holding (600137) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 1.8B CNY

Price¥17.83
Fair Value¥9.58
Upside-46.3%
Quality95/100
Evidence: High Range ¥8.14 – ¥11.02

Fair value as of: Jun 24, 2026

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Analysis

Sichuan Langsha Holding (600137) currently trades at ¥17.83, while our model-based Fair Value estimate is ¥9.58 — implying the stock looks roughly 46.3% 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

Sichuan Langsha Holding Ltd. manufactures and sells knitted underwear and fabrics for men, women, and children in China. It offers seamless and seamed thermal underwear, fashion underwear, men's and women's shorts, bras, and others. The company sells its products through approximately directly operated stores, franchised stores, and foreign trade OEMs; and online. It also exports its products. The company was formerly known as Sichuan Changjiang Packaging Holding Co., Ltd. Sichuan Langsha Holding Ltd. was founded in 1996 and is headquartered in Xuzhou, China.

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Frequently asked questions

Is Sichuan Langsha Holding (600137) undervalued?
As of Jun 24, 2026, our model estimates a fair value of ¥9.58 versus a price of ¥17.83 — about −46% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 600137?
Our 21-model fair value for Sichuan Langsha Holding is ¥9.58 (as of Jun 24, 2026), built from audited fundamentals. The current price is ¥17.83.
What is the quality score of 600137?
Sichuan Langsha Holding has a Quality Score of 95/100, 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.