Sunrise Group (002752) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 6.2B CNY
Analysis
Sunrise Group (002752) currently trades at ¥6.12, while our model-based Fair Value estimate is ¥5.34 — implying the stock looks roughly 12.7% 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
Sunrise Group Company Limited engages in the research and development, design, production, and sales of food and beverage packaging containers in China. The company offers beverage cans and food cans, including three-piece cans, two-piece cans, aluminum bottles, and metal packaging products. It also engages in the beverage filling, appearance packaging design, and logistics support business, as well as research and development, design, printing, production, distribution, filling, and information intelligent data services. In addition, the company leases land and property. Further, it provides supply chain management services; QR code canning services; easy-open lids; bottle caps; color printing, value-added, and photoelectric lighting services; and energy-saving products. The company was formerly known as Shengxing Group Co.,Ltd and changed its name to Sunrise Group Company Limited in December 2019. The company was founded in 1992 and is headquartered in Fuzhou, China. Sunrise Group…
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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.