Bangkok Land Public Company (BLAND) Fair Value & Analysis
Real Estate · TH · Market cap 7.6B THB
Fair value as of: Jun 26, 2026
Analysis
Bangkok Land Public Company (BLAND) currently trades at 0.4400 THB, while our model-based Fair Value estimate is 0.6600 THB — implying the stock looks roughly 50.0% undervalued today. We read business quality at 82/100 (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: medium) — always confirm before acting.
About the company
Bangkok Land Public Company Limited engages in the real estate development, exhibition and convention, food and beverage sales, and hotel and education investment businesses in Thailand. It operates through Real Estate Business; Retail Business; Exhibition Center Business; and Other Service segments. The company develops residential properties, such as single houses, town houses, and condominiums; and commercial properties, including shop-houses, high rise office buildings, shopping complexes, and community and retail malls. It also offers education, financing, project management, building management and maintenance, and property rental services; and real estate investment trust services. In addition, the company operates hotels, exhibition centers, and convention spaces, as well as a REIT manager. Bangkok Land Public Company Limited was founded in 1973 and is based in Nonthaburi, Thailand.
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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.