Eugene Corporation (023410) Fair Value & Analysis
Financial Services · KR · Market cap 240B KRW
Fair value as of: Jun 26, 2026
Analysis
Eugene Corporation (023410) currently trades at 3,465 KRW, while our model-based Fair Value estimate is 3,889 KRW — implying the stock looks roughly 12.2% undervalued today. We read business quality at 85/100 (high quality), in the Financial Services 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: medium) — always confirm before acting.
About the company
Eugene Corporation produces, distributes, and sells construction materials in South Korea and internationally. The company offers building materials, including concrete mixer truck, ascon, rebar, sectional steel, other steel materials, earthmoving pile, wood, brick blocks, cement, dry mortar, insulation, board, flooring, tiles, sanitary facilities, doors, furniture, home appliances, winter fuel, and civil materials; trending equipment materials, such as electric vehicle charger, system heating and cooling, ventilation system, pdf water tank, fire suppression system, automatic water soap dispenser, and kitchen water saving systems; and homeday products, including home day door, furniture, tiles, rubber tile, gangmaru, and verdi food processors. The company also offers concrete mixer truck, and construction materials distribution. The company was formerly known as Howoo Mulsan Co., Ltd. and changed its name to Eugene Corporation in 1994. The company was founded in 1984 and is based in…
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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.