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Raimon Land Public Company (RML) Fair Value & Analysis

Real Estate · TH · Market cap 522M THB

Price0.1100 THB
Fair Value0.2400 THB
Upside+118.2%
Quality95/100
Evidence: Low Range 0.1800 THB – 0.3600 THB

Fair value as of: Jun 26, 2026

Analysis

Raimon Land Public Company (RML) currently trades at 0.1100 THB, while our model-based Fair Value estimate is 0.2400 THB — implying the stock looks roughly 118.2% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Raimon Land Public Company Limited, together with its subsidiaries, engages in the property development business in Thailand. The company also involves in renting office buildings, hotels, and food and beverage businesses. In addition, it provides property rental, lease, and resale agency services. Raimon Land Public Company Limited was founded in 1987 and is based in Bangkok, Thailand.

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Frequently asked questions

Is Raimon Land Public Company (RML) undervalued?
As of Jun 26, 2026, our model estimates a fair value of 0.2400 THB versus a price of 0.1100 THB — about +118% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RML?
Our 21-model fair value for Raimon Land Public Company is 0.2400 THB (as of Jun 26, 2026), built from audited fundamentals. The current price is 0.1100 THB.
What is the quality score of RML?
Raimon Land 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.