Sahamitr Pressure Container Public Company (SMPC) Fair Value & Analysis
Consumer Cyclical · TH · Market cap 4.9B THB
Fair value as of: Jun 24, 2026
Analysis
Sahamitr Pressure Container Public Company (SMPC) currently trades at 9.05 THB, while our model-based Fair Value estimate is 15.64 THB — implying the stock looks roughly 72.8% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
Sahamitr Pressure Container Public Company Limited engages in the manufacture and sale of LPG and other pressure cylinders in Asia, Africa, the United States, and internationally. The company offers LPG cylinders, including 2-piece and 3-piece cylinders; automotive LPG cylinders, such as multi-valve system, 3-separated valve system, and automotive LPG toroidal; other pressure valves, such as air receivers " automotive components, refrigerant cylinders, propane cylinders for forklifts, methyl bromide cylinders, lubricant cylinders, chlorine cylinders, sulfur dioxide, and ammonia cylinders; and parts and components, including collar, footring, spud/bung, and cylinder cap. It also provides reconditioning services for pre-owned pressure vessels covering damaged cylinder, paint coating, and valve replacements. The company was founded in 1981 and is based 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.