Sichuan Furong Technology Co (603327) Fair Value & Analysis
Technology · CN · Market cap 11.2B CNY
Analysis
Sichuan Furong Technology Co (603327) currently trades at ¥10.74, while our model-based Fair Value estimate is ¥2.00 — implying the stock looks roughly 81.4% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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 Furong Technology Co., Ltd. engages in the research, development, production, and sale of aluminum structural parts for consumer electronics products. Its products are used as shells, back panels, middle frame components of consumer electronic products, such as tablets, laptops and smart phones, as well as the battery tray components of new energy vehicles. The company also engages in the processing, manufacturing, and casting of non-ferrous metals and alloys; manufacturing and sale of mold; processing of spare parts, and mechanical parts and components; recycling, processing, sale of renewable resources; recycling of productive scrap metals; housing rental; and processing of metal waste and debris, as well as power generation business, power transmission business, and power supply business. The company was founded in 2011 and is based in Chongzhou, China. Sichuan Furong Technology Co., Ltd. operates as a subsidiary of Fujian Nanping Aluminum Co., Ltd.
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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.