SK Networks Company (001740) Fair Value & Analysis
Industrials · KR · Market cap 2.8T KRW
Fair value as of: Jun 25, 2026
Analysis
SK Networks Company (001740) currently trades at 9,690 KRW, while our model-based Fair Value estimate is 3,946 KRW — implying the stock looks roughly 59.3% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high).
About the company
SK Networks Company Limited, together with its subsidiaries, engages in the import, export, and sale of information and communication devices in South Korea, China, and internationally. It operates through Trading, Information and Communication, Speed Mate, SK Magic, and Others segments. The company distributes ICT devices, such as laptops, tablet PCs, ICT accessories, and used mobile phones; operates telecom and broadband networks; trades in steel and energy products, as well as petrochemicals, such as purified terephthalic acid, monoethylene glycol, styrene monomer, methanol, and polyurethane; distributes and exports automobile parts, which include tires; and invests in AI, Web3, and sustainability domains. It is also involved in the manufacture, sale, and rental of electrical and electronic devices; and operation of hotels and resorts under the Grand Walkerhill Seoul, Vista Walkerhill Seoul, Douglas House, and Darakhyu brands, as well as restaurants and gold club houses. In addit…
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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.