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Hyundai Home Shopping Network Corporation (057050) Fair Value & Analysis

Consumer Cyclical · KR · Market cap 912B KRW

Price78,500 KRW
Fair Value194,354 KRW
Upside+147.6%
Quality80/100
Evidence: Medium Range 133,725 KRW – 242,942 KRW

Analysis

Hyundai Home Shopping Network Corporation (057050) currently trades at 78,500 KRW, while our model-based Fair Value estimate is 194,354 KRW — implying the stock looks roughly 147.6% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.

About the company

Hyundai Home Shopping Network Corporation, together with its subsidiaries, operates as an online shopping company in South Korea. The company offers fashion clothing/underwear; luxury goods/accessories; beauty products, including skincare, body care, perfume, hair care, make up, and other products; fresh/processed food; health food; living/kitchen/health; furniture/bedding/home; childbirth/infant; home appliances/digital; sports/leisure/care; travel/tickets/rentals/insurance; and hobbies/culture/companion products. It is also involved in the manufacturing and sale of building materials, such as flooring products, as well as cosmetics and pharmaceutical raw materials; digital solution business; and wholesale and retail of clothing. Hyundai Home Shopping Network Corporation was founded in 2001 and is headquartered in Seoul, South Korea. Hyundai Home Shopping Network Corporation operates as a subsidiary of Hyundai G.F. Holdings Co., Ltd.

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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.