S.NetSystems.Inc. (038680) Fair Value & Analysis
Technology · KR · Market cap 65.6B KRW
Fair value as of: Jun 25, 2026
Analysis
S.NetSystems.Inc. (038680) currently trades at 3,090 KRW, while our model-based Fair Value estimate is 4,839 KRW — implying the stock looks roughly 56.6% undervalued today. We read business quality at 89/100 (high quality), in the Technology 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
S.NetSystems.Inc. operates as a specialized ICT company in South Korea and internationally. The company offers system integration solutions, such as routing and switching, wireless, and Qos solutions; appliance-based next-generation security solutions; unified communication solutions; and server and desktop virtualization, CI/HCI consulting, storage, and D/C switch and SAN switch solutions. It also provides consulting services in the areas of sensor, communication protocol, and smart-device/platform connection, as well as IoT service modelling; infrastructure services; facilities control and data sensing monitoring solutions; and indoor navigation solutions. In addition, the company offers cloud services, including public/private cloud service with infrastructure service; Catalog Plus, a cross device multi-media document sharing service based on B2B; Booksuite, a cross device multi-media document sharing service based on B2B, B2C; WebEX, a Web conferencing service; and MERAKI, a net…
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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.