Richmond International Travel & Tours Co (2743) Fair Value & Analysis
Consumer Cyclical · TW · Market cap 3.1B TWD
Fair value as of: Jun 24, 2026
Analysis
Richmond International Travel & Tours Co (2743) currently trades at 68.00 TWD, while our model-based Fair Value estimate is 100.50 TWD — implying the stock looks roughly 47.8% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Richmond International Travel & Tours Co.,Ltd operates as a travel agency in Taiwan. It provides professional services, including outbound tourism, such as international group/individual tourism/destination tourism, passport and visa application services for various countries, airline tickets for independent travel, corporate rewards and business travel, booking hotels abroad, and overseas travel consultation; inbound tourism comprising corporate incentives and business travel services, domestic hotel booking service, domestic travel information, high-speed rail ticket booking service, customized travel planning services, and car rental and airport transfer services; international airline ticketing service and corporate business travel airfare services; and national tourism services. Richmond International Travel & Tours Co.,Ltd was founded in 1977 and is headquartered in Taipei City, Taiwan.
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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.