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OHTL Public Company (OHTL) Fair Value & Analysis

Consumer Cyclical · TH · Market cap 4.0B THB

Price261.00 THB
Fair Value455.65 THB
Upside+74.6%
Quality95/100
Evidence: High Range 300.63 THB – 571.38 THB

Fair value as of: Jun 24, 2026

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Analysis

OHTL Public Company (OHTL) currently trades at 261.00 THB, while our model-based Fair Value estimate is 455.65 THB — implying the stock looks roughly 74.6% 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

OHTL Public Company Limited, together with its subsidiaries, engages in the operation of hotels and restaurants in Thailand. The company operates in two segments, Hotel Operation and Food and Beverage. It is also involved in cooking school; and land and building leasing. The company was formerly known as The Oriental Hotel (Thailand) Public Company Limited and changed its name to OHTL Public Company Limited in November 2008. OHTL Public Company Limited was founded in 1876 and is based in Bangkok, Thailand.

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Frequently asked questions

Is OHTL Public Company (OHTL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 455.65 THB versus a price of 261.00 THB — about +75% (undervalued). Model-based estimate, not financial advice.
What is the fair value of OHTL?
Our 21-model fair value for OHTL Public Company is 455.65 THB (as of Jun 24, 2026), built from audited fundamentals. The current price is 261.00 THB.
What is the quality score of OHTL?
OHTL Public Company has a Quality Score of 95/100, 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.