China Cyts Tours Holding (600138) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 5.4B CNY
Analysis
China Cyts Tours Holding (600138) currently trades at ¥7.05, while our model-based Fair Value estimate is ¥2.55 — implying the stock looks roughly 63.8% overvalued today. We read business quality at 80/100 (high quality), in the Consumer Cyclical 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: medium).
About the company
China Cyts Tours Holding Co., Ltd., together with its subsidiaries, operates as a tourism company in Mainland China, Hong Kong, and internationally. It operates through Tourism Products and Services, Integrated Marketing Services, Hotel Business, Scenic Spot Operation and Real Estate Sales, and IT Product Sales and Technical Services segments. The company offers tourism services, such as group tours and free travel; public relations, sports marketing, conference management, and expositions; scenic spot tours, rural vacation tourism services, and real estate sales; and technical services. It is also involved in the investment, operation, and management of domestic mid- to high-end boutique hotel chains; and sale of IT infrastructure products, such as media switching servers, routers, and monitoring equipment. In addition, the company engages in the leasing and business services; and culture and arts activities. China Cyts Tours Holding Co., Ltd. was founded in 1980 and is headquarter…
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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.