Wyncoast Industrial Park Public Company (WIN) Fair Value & Analysis
Real Estate · TH · Market cap 152M THB
Fair value as of: Jun 26, 2026
Analysis
Wyncoast Industrial Park Public Company (WIN) currently trades at 0.2900 THB, while our model-based Fair Value estimate is 0.3500 THB — implying the stock looks roughly 20.7% undervalued today. We read business quality at 83/100 (high quality), in the Real Estate 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
Wyncoast Industrial Park Public Company Limited, together with its subsidiaries, engages in the sale and rental of custom duty-free zones for commercial and industrial activities in Thailand. It operates through Rent and Service; Construction Business; Produce and Sell Electricity from Solar Roof Top; Produce and Sell Water; and Sell Materials and Equipment segments. The company also engages in the rental of factories, warehouse buildings, office spaces, and staff accommodations; construction and renewable energy businesses; production and distribution of water, as well as electricity from solar energy; operation and management of properties and assets; and the sale of materials and equipment. The company was formerly known as Capetronic International Thailand Public Co. Ltd. and changed its name to Wyncoast Industrial Park Public Company Limited in October 2005. Wyncoast Industrial Park Public Company Limited was incorporated in 1985 and is headquartered in Bang Pakong, Thailand.
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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.