Shanghai Fengyuzhu Culture Technology Co (603466) Fair Value & Analysis
Communication Services · CN · Market cap 6.5B CNY
Analysis
Shanghai Fengyuzhu Culture Technology Co (603466) currently trades at ¥9.72, while our model-based Fair Value estimate is ¥5.68 — implying the stock looks roughly 41.6% overvalued today. We read business quality at 95/100 (high quality), in the Communication Services 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 Fengyuzhu Culture Technology Co., Ltd. engages in research and development of digital new media technologies in China. It is also involved in production, distribution, and management of digital content. In addition, the company various provides, such as digital cultural and creative content application, digital technology, digital creative product exhibition and display, literary and artistic creation, conference and exhibition, project planning and public relations, information consulting and system integration, market and marketing planning, artificial intelligence industry application system integration, data processing, photography and video production, and engineering management services, as well as technical services, technical development, technical consultation, technical exchange, technology transfer, and technology promotion services. Further, it engages in digital cultural and creative software development; sales of digital cultural and creative technology equipm…
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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.