Guangdong Xiongsu Technology Group (300599) Fair Value & Analysis
Industrials · CN · Market cap 4.5B CNY
Analysis
Guangdong Xiongsu Technology Group (300599) currently trades at ¥10.82, while our model-based Fair Value estimate is ¥3.83 — implying the stock looks roughly 64.6% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Guangdong Xiongsu Technology Group Co., Ltd engages in the production and sale of thermoplastic pipe fittings in China. The company offers polyvinyl chloride (PVC), polyethylene (PE), random copolymer polypropylene (PPR) pipes and fittings, including water supply and drainage pipes and fittings for buildings, municipal water supply and drainage pipes and fittings, plastic pipes and fittings for underground communications, sheathed pipes for high-voltage power cables and many other series. Its products are used in industrial and civil buildings, municipal engineering, water environment management, rural drinking water safety, rainwater and sewage separation, high-efficiency agriculture, smart grid construction and other fields. The company was formerly known as Guangdong Xiongsu Technology Industry Ltd. and changed its name to Guangdong Xiongsu Technology Group Co., Ltd in 2013. Guangdong Xiongsu Technology Group Co., Ltd was founded in 1996 and is headquartered in Foshan, 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.