Siam Global House Public Company (GLOBAL) Fair Value & Analysis
Consumer Cyclical · TH · Market cap 35.3B THB
Analysis
Siam Global House Public Company (GLOBAL) currently trades at 6.20 THB, while our model-based Fair Value estimate is 5.96 THB — implying the stock looks roughly 3.9% overvalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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: high).
About the company
Siam Global House Public Company Limited engages in the merchandising of construction materials, home decorative products, and tools and equipment used in construction, home improvement, and household and gardening decoration in Thailand, Cambodia, and Myanmar. The company sells various products comprising electric appliances; doors and windows; home improvement and repair equipment; water tank and plumbing equipment; home decoration; furniture; tools and hardware; bathroom; TV and stereo; agricultural and gardening equipment; electrical and electrical equipment; floor and wall; kitchen; lamp and lighting; mortar; painting and chemical; steel; sports and recreation; bedroom; storage and cleaning equipment; pet; toys and fashion; consumer products; and installation service products. It also sells products online. Siam Global House Public Company Limited was founded in 1995 and is headquartered in Mueang Roi Et, Thailand.
Open the full interactive analysis →
Similar stocks
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.