BHI Co (083650) Fair Value & Analysis
Industrials · KR · Market cap 2.1T KRW
Analysis
BHI Co (083650) currently trades at 56,800 KRW, while our model-based Fair Value estimate is 43,356 KRW — implying the stock looks roughly 23.7% overvalued today. We read business quality at 95/100 (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
BHI Co., Ltd. engages in the manufacturing and supplying of power plant equipment worldwide. It offers pulverized coal fired boilers, heat recovery steam generators, circulating fluidized bed combustion boilers, oil and gas boilers, industrial boilers, surface condensers, low/high pressure feed water heaters, closed cooling water heat exchangers, boiler coils and panels, and deaerators for power plants. The company also provides waste heat recovery systems, coke dry quenching boilers, sinter boilers, Finex boilers, steel making plant boilers, blast furnace gas preheating systems, converters, recuperators, muffles and reactors, and oxygen plant heat exchangers for steel plants. In addition, it offers shell and tube type, and air-cooled heat exchangers, as well as pressure vessels for oil and gas refineries; H beam jointed steel pipes for civil engineering; and p/p super heater tubes for construction and erection applications. The company was formerly known as Bumwoo ENG Co., Ltd. and…
Open the full interactive analysis →
Similar stocks
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.