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Guangdong Senssun Weighing Apparatus Group (002870) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 26.2B KRW

Price857.00 KRW
Fair Value1,228 KRW
Upside+43.3%
Quality95/100
Evidence: High Range 920.91 KRW – 1,535 KRW

Analysis

Guangdong Senssun Weighing Apparatus Group (002870) currently trades at 857.00 KRW, while our model-based Fair Value estimate is 1,228 KRW — implying the stock looks roughly 43.3% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Guangdong Senssun Weighing Apparatus Group Ltd. manufactures health measurement and management solutions primarily in China. The company offers electronic kitchen, personal, nutritional, baby scale, and price computing products. It also provides body fat/hydration and mechanical personal scale products. In addition, the company offers wireless body height meter, digital weighing, weighing indicator, dial spring, and platform scale products. Further, the company provides electronic luggage, pocket scale, hand dynamometer, and measuring tape. The company offers product under SENSSUN, CAMRY, and Golden Leaf brands. It also exports products to approximately 80 countries and regions on five continents worldwide. Guangdong Senssun Weighing Apparatus Group Ltd. was founded in 1975 and is based in Zhongshan, 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.