Miracll Chemicals Co (300848) Fair Value & Analysis
Basic Materials · CN · Market cap 6.5B CNY
Fair value as of: Jun 24, 2026
Analysis
Miracll Chemicals Co (300848) currently trades at ¥14.93, while our model-based Fair Value estimate is ¥3.25 — implying the stock looks roughly 78.2% overvalued today. We read business quality at 87/100 (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: medium).
About the company
Miracll Chemicals Co.,Ltd researches, develops, manufactures, and sells thermoplastic polyurethane (TPU) in China and internationally. It offers polyester-based, polyether-based, aliphatic, bio-based, adhesive, polycarbonate, polycaprolactone, expanded, and halogen-free flame retardant TPU products; TPU plastic products; thermoplastic silicone polyurethane and olefin plolyurethane products; and PBS and water-borne polyurethane resin products. The company also provides PUR adhesives for textiles and woodworking; and industrial chemicals, such as specialty isocyanates, specialty amines, polyol, and other products. Its products are used in consumer electronics, sports and leisure, automobile and industry manufacturing, high-end equipment, green energy, transportation, energy building, home life, industrial coating, sealing transmission, 3D printing, food hygiene, and other fields. The company was incorporated in 2009 and is based in Yantai, 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.