Beijing Yuanlong Yato Culture Dissemination Co (002878) Fair Value & Analysis
Communication Services · CN · Market cap 3.4B CNY
Analysis
Beijing Yuanlong Yato Culture Dissemination Co (002878) currently trades at ¥12.78, while our model-based Fair Value estimate is ¥3.35 — implying the stock looks roughly 73.8% overvalued today. We read business quality at 93/100 (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
Beijing Yuanlong Yato Culture Dissemination Co.,Ltd. provides integrated marketing services and marketing material solutions in China, Hong Kong, and Macao. It operates through full-case marketing, and big IP cultural and creative. The company offers integrated marketing services including gifts, digital marketing, new media advertising, WEB3 marketing and other marketing; and cultural and creative products including game licensed souvenirs, physical and digital IP, cultural and creative products, and IP digital scenes to businesses and consumers. It also provides media marketing business, such as advertising and marketing solutions for corporate customers based on new media traffic platforms, such as Douyin, Xiaohongshu, WeChat, Weibo, Bilibili, and Zhihu. In addition, the company engages in the planning and supply of promotional gifts; and digital marketing planning and execution. Further, the company offers creative proposals, product design, research and development, production,…
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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.