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Kangda New Materials (Group) Co (002669) Fair Value & Analysis

Basic Materials · CN · Market cap 5.2B CNY

Price¥18.80
Fair Value¥7.04
Upside-62.6%
Quality91/100
Evidence: High Range ¥6.58 – ¥10.64

Analysis

Kangda New Materials (Group) Co (002669) currently trades at ¥18.80, while our model-based Fair Value estimate is ¥7.04 — implying the stock looks roughly 62.6% overvalued today. We read business quality at 91/100 (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

Kangda New Materials (Group) Co., Ltd. engages in the research and development, production, and sale of structural adhesives in the People's Republic of China. The company operates through adhesives and special resin new materials, electronic information materials and electronic technology segments. The company offers modified acrylate adhesive, organic silica gel, epoxy resin, polyurethane, acrylate, SBS, PUR hot melt, water-based, and other adhesive products. Its products are used in wind power generation, soft packaging composite, rail transportation, aerospace, marine engineering, photovoltaic solar energy, rubber and plastic products, construction engineering, household electronic appliances, auto parts, motors, elevators, mining equipment, industrial maintenance, and other fields. The company was formerly known as Shanghai Kangda New Materials Group Co., Ltd. and changed its name to Kangda New Materials (Group) Co., Ltd. in July 2021. Kangda New Materials (Group) Co., Ltd. was…

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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.