Ningbo Exciton Technology Co (300566) Fair Value & Analysis
Technology · CN · Market cap 8.8B CNY
Analysis
Ningbo Exciton Technology Co (300566) currently trades at ¥33.39, while our model-based Fair Value estimate is ¥13.21 — implying the stock looks roughly 60.4% 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
Ningbo Exciton Technology Co., Ltd. engages in the research and development, manufacture, and sale of optical films and functional films in China. The company operates through four segments: Optoelectronics, Photovoltaics, Automotive, and Batteries. It offers optical film products, including diffusion film, brightness and laminated enhancement film, quantum dot film, laminated silvered reflector, 3D grating film, and explosion proof film. The company also offers photovoltaic backplane types, such as T series coated and composite backplanes (TPC, TPC-T, TPC-BW), double sided coated backplanes CPC, CPC-B, single-sided coated backplanes PC, and gap reflective films for modules. In addition, it provides solar backplane and window films. The company's products are applied in fields comprising televisions, monitors, laptops, tablets, smart phones, navigation systems, and car displays, as well as new energy. Ningbo Exciton Technology Co., Ltd. was founded in 2007 and is based in Ningbo, Ch…
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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.