SNT Energy Co (100840) Fair Value & Analysis
Industrials · KR · Market cap 664B KRW
Fair value as of: Jun 25, 2026
Analysis
SNT Energy Co (100840) currently trades at 29,300 KRW, while our model-based Fair Value estimate is 79,035 KRW — implying the stock looks roughly 169.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
SNT Energy Co., Ltd. operates in the machinery industry. It provides air cooled heat exchangers/air fin coolers for petrochemical plants, oil refining plants, power plants, and other industrial plants; and surface condensers that are used for thermoelectric power plants, as well as nuclear power plants as the peripheral equipment to cool down the steam emitted after operating the steam turbine and change the steam into condensate water. The company also offers heat recovery steam generators to supply the high waste heat to the steam turbine by collecting the steam created when operating the gas turbine at the combined cycle power plant; and DeNox equipment to reduce Nox harmful exhaust created by operating boilers at thermoelectric power plants, cogeneration plants, and steel mills. It serves petrochemical refining, gas plant, and generator equipment companies. The company was formerly known as S&T Corporation and changed its name to SNT Energy Co., Ltd. in February 2021. SNT Energy…
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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.