Husteel Co (005010) Fair Value & Analysis
Basic Materials · KR · Market cap 260B KRW
Fair value as of: Jun 25, 2026
Analysis
Husteel Co (005010) currently trades at 4,080 KRW, while our model-based Fair Value estimate is 2,293 KRW — implying the stock looks roughly 43.8% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: medium).
About the company
Husteel Co., Ltd. manufactures and sells various steel pipe products in South Korea, the Unites States, and internationally. The company offers pipes for general purpose; E.R.W. steel boilers and superheater tubes; E.R.W. heat-exchangers and condenser tubes; steel pipe piles; plain end steel tubes for welding or screwing; steel tubes for structural purpose; steel water-well pipes; steel pipes for fire protection use; line pipes; casings and tubings; rigid steel conduits; electrical rigid metal conduits; and steel tubes for tower structural purposes. It also provides steel pipes for pressure service, ordinary piping, boiler and heat exchanger, and general structural purposes; steel square pipes for general structural purposes; cold formed welded structural hollow section; welded steel tubes for pressure purposes; and carbon steel pipes for fuel gas piping. The company was formerly known as SHINHO STEEL Co., Ltd. and changed its name to Husteel Co., Ltd. in March 2002. Husteel Co., Lt…
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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.