Hyundai Livart Furniture Company (079430) Fair Value & Analysis
Consumer Cyclical · KR · Market cap 130B KRW
Fair value as of: Jun 24, 2026
Analysis
Hyundai Livart Furniture Company (079430) currently trades at 5,750 KRW, while our model-based Fair Value estimate is 8,102 KRW — implying the stock looks roughly 40.9% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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: high) — always confirm before acting.
About the company
Hyundai Livart Furniture Company Limited manufactures and sells furniture and wooden products in South Korea and internationally. The company offers sofa, living room cabinet and table, bed mattresses, wardrobe and dressing room, dressing table, mirror, stool, storage and drawer cabinet, desk, bookshelf, kids, junior, home appliances, home decor, and part furniture; library, bed; remolding and construction, that includes kitchen, bathroom, windows, and flooring; office; and used furniture. It sells its products under Livart, Livart Kids, Livart N'Sleep, H.MONDO, Livart domestic terrier, Livart Kitchen, Richen, Rivart Bath, Livart Office, Rivart Haum, Livart Built-in, Livart Marine, and Livart Wear brand names. The company was formerly known as Livart Furniture Co., Ltd. and changed its name to Hyundai Livart Furniture Company Limited in April 2014. Hyundai Livart Furniture Company Limited was founded in 1977 and is headquartered in Yongin-si, South Korea.
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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.