Shanghai Kinlita Chemical Co (300225) Fair Value & Analysis
Basic Materials · CN · Market cap 4.5B CNY
Analysis
Shanghai Kinlita Chemical Co (300225) currently trades at ¥8.30, while our model-based Fair Value estimate is ¥1.10 — implying the stock looks roughly 86.7% 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
Shanghai Kinlita Chemical Co., Ltd. engages in the research, production, sale, and service of industrial coatings in China. The company offers automobile coatings, such as vehicle body and primer-topcoat in one electrophoretic coatings, automobile parts electrophoretic coatings, solvent type and water-based vehicle body finishing paints, automobile internal and external ornaments paints, and wheel hub coatings. It also provides agricultural machine coatings, including grey machine body and primer-topcoat in one electrophoretic coatings; and light industry coatings comprising common light industry, colorful light industry, and plumbing equipment white electrophoretic coatings. In addition, the company offers motorcycle coatings, such as common vehicle frame and high weather resistance vehicle frame electrophoretic coatings; and ceramics coatings, including cooker, home appliance, and curtain wall ceramics coatings. Further, it provides construction machinery, railway locomotive, indu…
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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.