Dalian Sunasia Tourism Holding (600593) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 5.4B CNY
Analysis
Dalian Sunasia Tourism Holding (600593) currently trades at ¥38.38, while our model-based Fair Value estimate is ¥4.60 — implying the stock looks roughly 88.0% overvalued today. We read business quality at 84/100 (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
Dalian Sunasia Tourism Holding CO.,LTD, together with its subsidiaries, engages in tourism business in China. It engages in the construction and operation of aquariums, marine exploration artificial landscapes, amusement parks, marine biological specimen exhibition halls, and ship model exhibition halls. It is also involved in the catering, commercial performances, aquatic wild animals' domestication and breeding, and national key protected wild animals domestication and breeding activities; and provision of information technology, animal breeding and sales, photography, and video services, as well as exhibition and display, conferences, marketing planning, advertising services, etc. In addition, the company offers travel, hotel management, business administration, investment and management consulting, equity investment, public facilities management, enterprise management, logistics, and technical services. Dalian Sunasia Tourism Holding CO.,LTD was founded in 1993 and is based in D…
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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.