Daoming Optics&Chemical Co (002632) Fair Value & Analysis
Basic Materials · CN · Market cap 6.3B CNY
Analysis
Daoming Optics&Chemical Co (002632) currently trades at ¥9.77, while our model-based Fair Value estimate is ¥6.03 — implying the stock looks roughly 38.3% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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
Daoming Optics&Chemical Co.,Ltd engages in the research and development, production, and sale of various functional films and polymer synthetic materials in China and internationally. The company offers personal protection solutions, including normal reflective fabric, reflective leather and yarn, finished, reflective clothing, heat transfer film, prismatic reflective tape, flame retardant, industrial washable, elastic reflective fabric, photoluminescent, and fancy fabric products. It also provides vehicle safety solutions, such as vehicle retro-reflective markings and finished products; and road safety solutions comprising reflective films for permanent and temporary road signs, reflective films for special purposes, license plate films, and finished and accessory products, as well as advanced materials solutions consisting of laser etched films, release materials, and decorative films. The company was founded in 2002 and is headquartered in Yongkang, China.
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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.