Guangdong Green Precision Components Co (300968) Fair Value & Analysis
Industrials · CN · Market cap 4.4B CNY
Analysis
Guangdong Green Precision Components Co (300968) currently trades at ¥10.74, while our model-based Fair Value estimate is ¥4.99 — implying the stock looks roughly 53.5% 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 Green Precision Components Co., Ltd. engages in the research and development, design, production, and sale of precision structural components and molds for intelligent terminals. It offers die-casting insert injection molding middle frames, metal middle frames, plastic battery covers with integrated LAP antenna, internal LDS antenna brackets and buttons, etc.; antenna, electromagnetic shielding, acoustic cavity, heat dissipation, waterproof, and dustproof; a front shell, a rear shell, a window, and a wrist strap; and smart watches comprising metal middle frame, plastic middle frame, and wrist strap, as well as plastic molding, IMD, ICM, secondary injection molding, soft rubber compound molding, cold and hot, and stack molding and continuous stamping. The company provides precision structural components for smartphones, smart homes, wearable devices, tablet computers, e-books, speakers, cameras, and other intelligent terminals. It also offers GCPC masks. Guangdong Green Pre…
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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.