Salee Colour Public Company (COLOR) Fair Value & Analysis
Basic Materials · TH · Market cap 601M THB
Fair value as of: Jun 24, 2026
Analysis
Salee Colour Public Company (COLOR) currently trades at 1.01 THB, while our model-based Fair Value estimate is 0.6800 THB — implying the stock looks roughly 32.7% overvalued today. We read business quality at 94/100 (high quality), in the Basic Materials 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
Salee Colour Public Company Limited, together with its subsidiaries, engages in the manufacture and distributes pigment pellets and powders, fabricated plastic, masterbatch and compound, and distribution of solar energy system parts and installation services in Thailand. The company offers black masterbatch products for use in engineering and polyolefin resins; white masterbatch products for applications in a range of carrier resins; and filler masterbatch products for use in polyolefin resins. It also provides additive masterbatch products, including anti-oxidants, anti-static, anti-microbial, fragrance, non-halogen flame retardant, processing aid, slip-agent, anti-block, and UV stabilizer products for application in the construction, textile and fiber, agriculture, food and industrial packaging, electronic appliance, automotive, and enhancing recycle article areas. In addition, the company offers services like custom masterbatch, bioplastic compounds, compounding service, and labo…
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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.