The Siam Cement Public Company (SCVPY) Fair Value & Analysis
Industrials · US · Market cap $9.1B
Analysis
The Siam Cement Public Company (SCVPY) currently trades at $7.77, while our model-based Fair Value estimate is $5.73 — implying the stock looks roughly 26.3% overvalued today. We read business quality at 84/100 (high quality), in the Industrials 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: medium).
About the company
The Siam Cement Public Company Limited, together with its subsidiaries, operates in the cement and building materials, chemicals, and packaging businesses in Thailand and internationally. It operates through SCG Cement and Green Solutions; SCG Smart Living and SCG Distribution and Retail; SCG Decor; SCG Chemicals; SCGP; and Other segments. The SCG Cement and Green Solutions segment produces cement, concrete products, and refractory cement, manages natural resource utilization. The SCG Smart Living and SCG Distribution and Retail segment manufactures building materials, including roof, ceiling and wall, fiberglass insulation, wood substitute, landscape, lightweight concrete block, paint, including smart solutions for home and building, and energy management, etc. This segment also distributes and retails cement, building materials, and other home and living products, as well as provides international supply chain solutions; and invests in logistics business. The SCG Decor segment pro…
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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.