Golden Lime Public Company (SUTHA) Fair Value & Analysis
Basic Materials · TH · Market cap 978M THB
Fair value as of: Jun 24, 2026
Analysis
Golden Lime Public Company (SUTHA) currently trades at 2.74 THB, while our model-based Fair Value estimate is 1.81 THB — implying the stock looks roughly 33.9% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Golden Lime Public Company Limited, together with its subsidiaries, manufactures and distributes industrial chemical products in Thailand and internationally. It manufactures and distributes calcium oxide, calcium hydroxide, calcium carbonate, lime, limestone, and other related products. The company also designs, assembles, supplies, and installs machinery and equipment. In addition, it mines, produces, and distributes marbles, limestone, and related by-products. Further, the company provides engineering consulting, as well as packing, and transportation and logistics services. It serves iron and steel, non-ferrous, wastewater treatment and environmental, construction, construction engineering, mortar and cement, concrete, flue gas treatment, precipitated calcium carbonate, energy, pulp and paper, animal feed, sugar, agriculture and livestock, chemicals, and plastic and rubber industries. The company was incorporated in 2003 and is headquartered in Nonthaburi, Thailand. Golden Lime …
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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.