Siam Steel International Public Company (SIAM) Fair Value & Analysis
Consumer Cyclical · TH · Market cap 457M THB
Fair value as of: Jun 24, 2026
Analysis
Siam Steel International Public Company (SIAM) currently trades at 0.7400 THB, while our model-based Fair Value estimate is 0.7800 THB — implying the stock looks roughly 5.4% undervalued today. We read business quality at 86/100 (high quality), in the Consumer Cyclical 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
Siam Steel International Public Company Limited, together with its subsidiaries, engages in the manufacture and sale of steel office equipment, and furniture parts in Thailand. The company is involved in construction business. Its steel and wooden furniture products include cabinets, lockers, and combine furniture systems; desks and tables; chairs; partitions; safes; shelving systems; and furniture for stadiums comprising bleachers and folding stages. In addition, the company provides prefabricated building systems that consist of permanent buildings, which includes business hotels, convenience stores, showrooms, etc.; temporary buildings, such as mobile offices, mobile clinics, mobile toilets, etc.; and storage buildings, which consists of telecom shelters, warehouse units, soundproof rooms, etc. Further, it offers special products, such as flood protection panel and related products, bathroom pods, smart wall systems, earthquake and seismic retrofits, bulletproof security products…
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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.