Getabec Public Company (GTB) Fair Value & Analysis
Industrials · TH · Market cap 662M THB
Fair value as of: Jun 25, 2026
Analysis
Getabec Public Company (GTB) currently trades at 0.6900 THB, while our model-based Fair Value estimate is 1.69 THB — implying the stock looks roughly 144.9% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Getabec Public Company Limited, together with its subsidiaries, engages in the manufacture and distribution of steam and hot water boilers in Thailand and internationally. It offers fire and water tube boilers, heat recovery steam generators, hot water boilers, steam generators, thermal oil heaters, and biomass and electric boilers; online monitoring systems for boiler operation; and plant balancing solutions, such as pressure vessels and storage tanks, deaeration plants for water treatment, piping systems, and fuel gas emission control and instrument systems, as well as stacks, heat exchangers, and economizers. The company also provides services required for a boiler plant, engineering, installation, erection, upgrading, commissioning, and spare parts. It serves food, beverage, textile and fabric, automotive, pharmaceutical and chemical, packaging, hotel and hospital, and construction materials industries, as well as petrochemical and power plants. The company was formerly known as…
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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.