SeAH Besteel Holdings (001430) Fair Value & Analysis
Basic Materials · KR · Market cap 1.7T KRW
Analysis
SeAH Besteel Holdings (001430) currently trades at 34,900 KRW, while our model-based Fair Value estimate is 26,639 KRW — implying the stock looks roughly 23.7% 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
SeAH Besteel Holdings Corporation manufactures and sells special steel products in South Korea, the rest of Asia, South America, North America, Oceania, Europe, and internationally. It operates through Special Steel and Aluminum Extrusion divisions. The company offers special steel products comprising rolled materials, forgings, and secondary processed materials; open-die forging products consisting of shells, rings, shafts, hollow bars, rolls, discs, blocks, and mold steel, as well as forgings for ship engines; nuclear power materials and equipment, such as casks, canisters, and nuclear forgings; and automotive parts, undercarriage parts, and machinery parts. It also engages in the manufacture and sale of stainless-steel pipes; and mining-related business investment activities. The company's products are used in energy, machinery, automotive bearing, shipbuilding, and nuclear applications. It exports its products. The company was founded in 1955 and is headquartered in Seoul, South…
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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.