Tuniu Corporation (TOUR) Fair Value & Analysis
Consumer Cyclical · US · Market cap $50.2M
Fair value as of: Jun 25, 2026
Analysis
Tuniu Corporation (TOUR) currently trades at $4.65, while our model-based Fair Value estimate is $9.47 — implying the stock looks roughly 103.7% undervalued today. We read business quality at 88/100 (high quality), in the Consumer Cyclical sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Tuniu Corporation, together with its subsidiaries, operates as an online leisure travel company in the People's Republic of China. The company offers various packaged tours, including organized tours that provide pre-arranged itineraries, transportation, accommodation, entertainment, meals, and tour guide services; and self-guided tours consist of flights and hotel bookings, and other optional add-ons. It also sells tourist attraction tickets; and provides visa applications, hotel booking, air ticketing, train ticketing, car rental, and insurance services. In addition, the company offers advertising services to tourism boards and bureaus. The company offers its products and services through various online and offline channels, including the tuniu.com website; mobile platform; call center in Nanjing; and offline retail stores in China. Tuniu Corporation was founded in 2006 and is headquartered in Nanjing, the People's Republic of 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.