Sappe Public Company (SAPPE) Fair Value & Analysis
Consumer Defensive · TH · Market cap 9.2B THB
Fair value as of: Jun 24, 2026
Analysis
Sappe Public Company (SAPPE) currently trades at 30.00 THB, while our model-based Fair Value estimate is 40.07 THB — implying the stock looks roughly 33.6% undervalued today. We read business quality at 92/100 (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: high) — always confirm before acting.
About the company
Sappe Public Company Limited, together with its subsidiaries, manufactures and distributes health drinking, food, and coconut products in Thailand, Asia, Europe, the United States, and internationally. The company operates through two segments, Health Drinking Products and Coconut Products. It offers ready-to-drink fruit juices, functional drinks, functional powders, snacks, supplements, jellies, distribution of candy and coffee products. In addition, the company offers provision of group management service and digital transformation products. The company sells its products under the Mogu Mogu, Sappe Aloe Vera, Maxtive, Preaw, Gumi Gumi Jelly, B'lue, all coco, and Sappe Beauty brand names. The company was formerly known as Sapanan General Food Company Limited and changed its name to Sappe Public Company Limited in September 2013. Sappe Public Company Limited was founded in 1973 and is headquartered in Bangkok, 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.