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Dhouse Pattana Public Company (DHOUSE) Fair Value & Analysis

Real Estate · TH · Market cap 326M THB

Price0.3700 THB
Fair Value0.3200 THB
Upside-13.5%
Quality95/100
Evidence: Low Range 0.2400 THB – 0.4800 THB

Fair value as of: Jun 26, 2026

Analysis

Dhouse Pattana Public Company (DHOUSE) currently trades at 0.3700 THB, while our model-based Fair Value estimate is 0.3200 THB — implying the stock looks roughly 13.5% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: low).

About the company

Dhouse Pattana Public Company Limited, together with its subsidiaries, engages in the property development activities in Thailand. The company is also involved oil station and retail businesses. The company was founded in 2010 and is based in Maha Sarakham, Thailand.

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Frequently asked questions

Is Dhouse Pattana Public Company (DHOUSE) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 0.3200 THB versus a price of 0.3700 THB — about −14% (overvalued). Model-based estimate, not financial advice.
What is the fair value of DHOUSE?
Our 21-model fair value for Dhouse Pattana Public Company is 0.3200 THB (as of Jun 26, 2026), built from audited fundamentals. The current price is 0.3700 THB.
What is the quality score of DHOUSE?
Dhouse Pattana 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.