Enex Co (011090) Fair Value & Analysis
Consumer Cyclical · KR · Market cap 17.1B KRW
Fair value as of: Jun 25, 2026
Analysis
Enex Co (011090) currently trades at 1,192 KRW, while our model-based Fair Value estimate is 1,075 KRW — implying the stock looks roughly 9.8% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Enex Co., Ltd. manufactures and sells kitchen furniture in Korea and internationally. The company offers built-in closet, including casements, sliding built-in cabinets, built-in cabinates options, wardrobes, single cabinet, front doors, and dress rooms; bedroom furniture, such as queen/king bed, single bed, mattresses, chiffoniers, and dressing tables; and living room furniture comprising sofa, Chinese furniture, and tea tables. It also provides kitchen furniture, including tables, storage, and Ireland furniture products; and student/study room furniture, such as chairs, desks, bookshelves, and kid's furniture products, as well as office furniture products. In addition, the company offers household goods comprising kitchen, bathroom, and pet products, as well as bedding sets, carpets, and rugs; and furniture and product equipment for kitchen, living room, and multi-purpose spaces. It sells its products through direct stores and distribution networks, as well as online under the Ene…
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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.