Phoenix Tours International, Inc (5706) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 4.4B TWD
Fair value as of: Jun 24, 2026
Analysis
Phoenix Tours International, Inc (5706) currently trades at 52.70 TWD, while our model-based Fair Value estimate is 44.93 TWD — implying the stock looks roughly 14.7% 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: high).
About the company
Phoenix Tours International, Inc. provides travel agency services in Taiwan. It operates through four segments: Group Travel Department, Domestic Transportation Department, Air Passenger and Freight Forwarding Department, and Ticketing and Other Departments. The company offers tour packages, independent travel groups, domestic and overseas sightseeing tours, meals, and accommodation and related services; and tour bus rental services. It also provides tour guides to travelers; sell domestic and overseas transportation tickets as a commissioned agent; purchase domestic and overseas tickets on behalf of customer; and check-in luggage and process entry-exit visa procedures on behalf of customers. In addition, the company engages in acting as an agent of airline businesses; air freight forwarder, publishing, market management and hotel, and tourist bus transportation businesses; provision of sports training and data processing services. Further, it provides market management, cruise tour…
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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.