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SYoung Group (300740) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 8.7B CNY

Price¥22.42
Fair Value¥8.32
Upside-62.9%
Quality95/100
Evidence: High Range ¥6.24 – ¥10.61

Analysis

SYoung Group (300740) currently trades at ¥22.42, while our model-based Fair Value estimate is ¥8.32 — implying the stock looks roughly 62.9% 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

SYoung Group Co., Ltd. engages in the research and development, production, and sale of cosmetic products in China. It provides facial masks, lotions, creams, makeup, personal care, cleaning, and other cosmetics. The company sells its products under the Yunifang, EVIDENSDEBEAUT, PIERAUG, RVive, Yu Nifang, Big Water Drop, Little Confused, VAA and other brands. It offers its products a through e-commerce platforms, such as Tmall, Taobao, Douyin, JD.com, Vipshop, Kuaishou, Pinduoduo, and other mainstream e-commerce platforms; offline channels, including brand-owned stores; department stores, such as SKP, Sephora, and Intime Department Stores; and supermarkets, such as Walmart and Yonghui; and beauty stores comprising Watsons, KKV, and Colorist. The company was formerly known as Yujiahui Co., Ltd. and changed its name to SYoung Group Co., Ltd. in March 2021. SYoung Group Co., Ltd. was founded in 2006 and is headquartered in Changsha, China.

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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.