Changzhou Fusion New Material Co (688503) Fair Value & Analysis
Technology · CN · Market cap 21.7B CNY
Fair value as of: Jun 24, 2026
Analysis
Changzhou Fusion New Material Co (688503) currently trades at ¥97.92, while our model-based Fair Value estimate is ¥34.68 — implying the stock looks roughly 64.6% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Changzhou Fusion New Material Co., Ltd. engages in the research and development, production, and sale of conductive silver paste, electronic component paste, conductive adhesive, and semiconductor materials for photovoltaic industry in China and internationally. The company manufactures special electronic and metal materials; optoelectronic devices; synthetic materials; electronic raw materials and products; and electronic slurries; and provides technical services, technology development, technology consulting, technology exchange, environmentally friendly and energy-saving materials, technology transfer, and technology promotion services. It is also involved in the import and export of technology, goods, and agency; sale of integrated circuit chips and chemical products; sales of power distribution switch control equipment; energy storage technology services; battery sales; sales of solar thermal power generation products; solar power generation technology services; and manufacturi…
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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.