Xi'an Tourism Co (000610) Fair Value & Analysis
Consumer Cyclical · CN · Market cap 1.5B CNY
Fair value as of: Jun 23, 2026
Analysis
Xi'an Tourism Co (000610) currently trades at ¥6.10, while our model-based Fair Value estimate is ¥2.82 — implying the stock looks roughly 53.8% overvalued today. We read business quality at 93/100 (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: low).
About the company
Xi'an Tourism Co., Ltd. operates in the tourism industry in China. The company engages in the hotel operation and management; catering; and travel agency, tourism, and scenic spots development activities. It is also involved in real estate development and operation, and property management; project investment, land transfer, and decoration and renovation project construction; hotel investment and commercial operation management; ecotourism, agricultural, and land development; brand management; and investment management businesses. In addition, the company offers account, and conference and exhibition services; produces and sells agricultural products; sells agricultural and sideline products; and provides educational consulting services. Further, it engages in the asset leasing and trading businesses, public facilities management, culture and arts industry, as well as application software development activities. Xi'an Tourism Co., Ltd. was founded in 1993 and is based in Xi'an, China.
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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.