Dusit Thani Public Company (DUSIT) Fair Value & Analysis
Consumer Cyclical · TH · Market cap 8.6B THB
Fair value as of: Jun 25, 2026
Analysis
Dusit Thani Public Company (DUSIT) currently trades at 10.70 THB, while our model-based Fair Value estimate is 21.00 THB — implying the stock looks roughly 96.3% undervalued today. We read business quality at 89/100 (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: low) — always confirm before acting.
About the company
Dusit Thani Public Company Limited, together with its subsidiaries, owns and operates hotels and resorts in Thailand and internationally. The company operates through five segments: Hotel and Hotel Management, Education, Food, Real Estate Development, and Others. The company operates hotels and resorts under the Dusit Thani, dusitD2, Dusit Princess, Dusit Suites, ASAI, Elite Havens, and Devarana Dusit brand names; spas under the Devarana Wellness and Namm Spa brands; other businesses under the DREIT, Dusit Hospitality Services, and Baan Dusit Thani names; and healthy food restaurants. The company also provides hotel management and consultancy services; and engages in the food and beverage catering, and distribution business. In addition, it operates Dusit Thani College; The Food School; and Le Cordon Bleu Dusit Culinary School. Further, the company provides food and catering services under the brand names Dusit Gastro, Epicure Catering, PORT ROYAL, Pinto hub, Bonjour Bakery, and Sav…
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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.