Thai Wah Public Company (TWPC) Fair Value & Analysis
Consumer Defensive · TH · Market cap 2.6B THB
Fair value as of: Jun 24, 2026
Analysis
Thai Wah Public Company (TWPC) currently trades at 2.84 THB, while our model-based Fair Value estimate is 3.72 THB — implying the stock looks roughly 31.0% undervalued today. We read business quality at 81/100 (high quality), in the Consumer Defensive 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
Thai Wah Public Company Limited, together with its subsidiaries, manufactures and distributes vermicelli, tapioca starch, and other food and agricultural products in Thailand, Vietnam, China, Cambodia, Indonesia, and India. It operates through Starch, Food, and Other segments. The company offers tapioca flour and starch, modified starch, glucose syrup, tapioca pearls, alpha starch, rich flour and starch, and organic products used in the food, paper, and textile industries; and bean vermicelli, rice noodles, rice vermicelli, meal kits and instant noodles, mung bean starch noodles/Shanghai noodles, and other products. It also provides biodegradable products comprising thermoplastic starch resins for various applications, including single-use packaging, shopping bags, plastic packaging, plastic bottles and utensils, and agricultural and consumer goods, etc. In addition, the company is involved in landholding activities; and the generation and sale of electricity. Further, it engages in…
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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.