Srithai Superware Public Company (SITHAI) Fair Value & Analysis
Consumer Cyclical · TH · Market cap 2.7B THB
Fair value as of: Jun 24, 2026
Analysis
Srithai Superware Public Company (SITHAI) currently trades at 1.03 THB, while our model-based Fair Value estimate is 1.37 THB — implying the stock looks roughly 33.0% undervalued today. We read business quality at 90/100 (high quality), in the Consumer Cyclical 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
Srithai Superware Public Company Limited, together with its subsidiaries, manufactures and distributes household and industrial plastic products in Vietnam and internationally. It offers food packaging products; beverage packaging products, including PET bottles, drink lids, and preforms plastics; rigid packaging products; automotive and motorcycle battery covers and casings; material handling products comprising pallets, crates, and bottle crates; garbage bins; household goods; and furniture, as well as sports and entertainment chairs, such as grandstand, stadium, football stadium, racetrack, cinema, waiting area, and bus stop chairs. The company also provides melamine household products with cartoon patterns; melamine household products under the Ektra brand for the hospitality industry; and dinner sets. In addition, it is involved in the provision of product design and simulation; 3D printing and scanning services; and manufacturing and distribution of molds. Srithai Superware Pu…
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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.