Beijing Comens New Materials Co (300200) Fair Value & Analysis
Basic Materials · CN · Market cap 4.2B CNY
Analysis
Beijing Comens New Materials Co (300200) currently trades at ¥9.70, while our model-based Fair Value estimate is ¥3.18 — implying the stock looks roughly 67.2% overvalued today. We read business quality at 94/100 (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
Beijing Comens New Materials Co.,Ltd. engages in the research and development, production, and sale of composite polyurethane adhesives materials in China and internationally. It provides low-carbon composite materials, such as film adhesive, PUR, and powder resin; transportation functional materials, such as sealant, structural adhesive, elastomer, power battery adhesive, vehicle PUR, water-based adhesive, adhesive tape products, NVH automotive materials, and power battery auxiliary materials; electrical functional materials, such as medium and high voltage epoxy insulation resin, capacitor potting glue, electronic adhesive, silicone, and insulating resin; and optical display materials, such as polarizer protective film and polarizer adhesive, and OCA optical adhesive series. Additionally, it offers solutions for packaging and lamination, including daily packaging, food packaging, pharmaceutical packaging, ink and coatings, and industrial lamination; transportation, such as automot…
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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.