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Asia Hotel Public Company (ASIA) Fair Value & Analysis

Consumer Cyclical · TH · Market cap 1.7B THB

Price5.30 THB
Fair Value5.87 THB
Upside+10.8%
Quality93/100
Evidence: High Range 2.68 THB – 9.06 THB

Fair value as of: Jun 25, 2026

Analysis

Asia Hotel Public Company (ASIA) currently trades at 5.30 THB, while our model-based Fair Value estimate is 5.87 THB — implying the stock looks roughly 10.8% undervalued today. We read business quality at 93/100 (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

Asia Hotel Public Company Limited hotel and restaurant, together with its subsidiaries, engages in the hotel and restaurant business in Thailand and internationally. It is involved in the rental of shopping complex and hotel; and provision of room and utility services. Asia Hotel Public Company Limited was incorporated in 1964 and is based in Bangkok, Thailand.

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Frequently asked questions

Is Asia Hotel Public Company (ASIA) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 5.87 THB versus a price of 5.30 THB — about +11% (undervalued). Model-based estimate, not financial advice.
What is the fair value of ASIA?
Our 21-model fair value for Asia Hotel Public Company is 5.87 THB (as of Jun 25, 2026), built from audited fundamentals. The current price is 5.30 THB.
What is the quality score of ASIA?
Asia Hotel Public Company has a Quality Score of 93/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.