Dongguan Eontec Co (300328) Fair Value & Analysis
Industrials · CN · Market cap 13.5B CNY
Analysis
Dongguan Eontec Co (300328) currently trades at ¥19.29, while our model-based Fair Value estimate is ¥4.56 — implying the stock looks roughly 76.4% overvalued today. We read business quality at 89/100 (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
Dongguan Eontec Co., Ltd. engages in the research and development, production, and sale of light alloy materials in China and internationally. It offers amorphous alloy products, CE parts, notebook parts, and structural auto parts for use in the consumer electronics, medical equipment, communications equipment, and automotive equipment. The company also provides mold design, die casting, precision CNC machining, surface treatment, product inspection, and test services; liquid metals, magnesium alloys, aluminum alloys, medical materials, and polymer materials; high-end LED curtain walls and industrial accessories; silicone; and other consumer electronic structural parts, as well as zinc, zirconium alloys, and hardware precision parts and their spare parts. In addition, it offers household appliances, non-stick coatings, daily masks, protective equipment, biomedical materials, and intellectual property services. Dongguan Eontec Co., Ltd. was founded in 1993 and is based in Dongguan, C…
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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.