Xiamen Guang Pu Electronics Co (300632) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 8.8B CNY
Analysis
Xiamen Guang Pu Electronics Co (300632) currently trades at ¥34.43, while our model-based Fair Value estimate is ¥22.67 — implying the stock looks roughly 34.2% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Xiamen Guang Pu Electronics Co., Ltd., together with its subsidiaries, engages in the research, development, production, and sale of LED lighting and key components in China and internationally. The company offers LED lighting products, such as flat panel and bracket lamps, high bay, flood lights, backlit panels, flush mounts, fan and shop lights, exhaust fans, 3D cloudy skylight, atmosphere lamp, and vanity and linear lights for use in healthy campus, plant/livestock growth, physical disinfection light health business, and artificial intelligence green energy managed system applications. It also provides AI smart sensor solutions; energy storage integration, EV chargers, new energy materials, and charging piles; and solar PV products, including balcony and rooftop PV systems, BIPV, C&I distributed PV, environmental-friendly gas-insulated ring main units, high-voltage and low-voltage PV grid-connection cabinets, intelligent prefabricated substations, and PV inverters. In addition, t…
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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.