Sherwood Corporation (SWC) Fair Value & Analysis
Basic Materials · TH · Market cap 2.3B THB
Fair value as of: Jun 24, 2026
Analysis
Sherwood Corporation (SWC) currently trades at 4.50 THB, while our model-based Fair Value estimate is 5.49 THB — implying the stock looks roughly 22.0% undervalued today. We read business quality at 93/100 (high quality), in the Basic Materials 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: high) — always confirm before acting.
About the company
Sherwood Corporation (Thailand) Public Company Limited, together with its subsidiaries, manufactures and supplies household chemical products in Thailand and internationally. The company offers insecticide, wood preservative, cleaning, industrial, public health, agrochemical, and pet care products under the Chaindrite, Teepol, Mos Away, Stedfast, Vapona, Biforce, Fipforce, Imiforce, and Chaingard brands. It also manufactures and distributes food products, such as milk, plant-based food, beverages, syrups, and snack products; and distributes fertilizer and chemical products. The company was formerly known as Sherwood Chemicals Public Company Limited and changed its name to Sherwood Corporation (Thailand) Public Company Limited in June 2018. The company was founded in 1995 and is based in Bangkok, Thailand. Sherwood Corporation (Thailand) Public Company Limited operates as a subsidiary of TOA Venture Holding Company Limited.
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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.