STP&I Public Company (STPI) Fair Value & Analysis
Industrials · TH · Market cap 10.1B THB
Fair value as of: Jun 24, 2026
Analysis
STP&I Public Company (STPI) currently trades at 5.20 THB, while our model-based Fair Value estimate is 2.40 THB — implying the stock looks roughly 53.8% overvalued today. We read business quality at 91/100 (high quality), in the Industrials 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: high).
About the company
STP&I Public Company Limited engages in the fabrication of steel works, and manufacture and sale of boilers and pressure vessels in Thailand, Australia, the United States, Canada. It offers steel structures for airports, exhibition halls, and high-rise buildings; industrial plants, such as factories, automobile plants, and steel mills; power plants, such as boiler structures, turbine buildings, and equipment support structures; petrochemical plants comprising refineries, and gas separation and aromatic plants; and bridges consisting of built-in cable anchor structural decks, main structures, decking for cable stay bridges, flyovers, and pipe bridges jetties. The company also provides piping pre-fabrication and erection services for various industrial plants, such as power plants, oil refineries, petrochemical plants, and offshore process plants, as well as produces offshore and onshore modules. In addition, it offers engineering services; fabrication services, such as cutting/rollin…
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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.