Srinanaporn Marketing Public Company (SNNP) Fair Value & Analysis
Consumer Defensive · TH · Market cap 5.9B THB
Fair value as of: Jun 24, 2026
Analysis
Srinanaporn Marketing Public Company (SNNP) currently trades at 6.55 THB, while our model-based Fair Value estimate is 6.31 THB — implying the stock looks roughly 3.7% overvalued today. We read business quality at 90/100 (high quality), in the Consumer Defensive 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
Srinanaporn Marketing Public Company Limited engages in the manufacture and distribution of snacks and beverages in Thailand. The company provides technical and administrative services. It also offers ready to drink jellies and carrageenan jelly products under the Jele, Daiyamoto, Cooly Kool, and Magic Farm brand names; other beverage products, such as grass jelly in syrup, coconut juice with coconut jelly, and vitamins water under the Magic Farm Fresh and Jele brand names; and fruit juice mixed with coconut jelly under the Magic X brand. In addition, the company provides baked squids, squid strips, and fish strips under the Bento brand name; molded snack products and bread sticks under the Dok Bua and Lotus brand names; wafer and biscuit products under the Chocky and Bakery House brand names; and animal-based products under the Dok Bua brand name. Further, it engages in the real estate business. The company offers its products through online. It also exports its products. Srinanapo…
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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.