Ubiquoss Holdings (078070) Fair Value & Analysis
Technology · KR · Market cap 171B KRW
Fair value as of: Jun 26, 2026
Analysis
Ubiquoss Holdings (078070) currently trades at 8,400 KRW, while our model-based Fair Value estimate is 16,521 KRW — implying the stock looks roughly 96.7% undervalued today. We read business quality at 80/100 (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
Ubiquoss Holdings Inc. manufactures and sells wired Internet data transmission equipment, such as Ethernet switch, FTTH (fiber-to-the-home) solutions, and VDSL2 equipment. Its products include FTTx multi-service systems, including OLT and ONU, as well as DOCSIS provisioning of EPON, EPON/GPON, and FTTdp; xDSL comprising DSLAMs and modems, as well as gigabit home network and very high-data rate digital subscriber line ver.2; access, aggregation, and core/edge switches; and mobile backhaul switches. The company also offers optical, copper, campus, enterprise, financial, and data center switch solutions. It serves public/private enterprises in government, education, finance, retail, food, healthcare, production, transportation, and resource industries. The company was formerly known as ubiQuoss Inc. and changed its name to Ubiquoss Holdings Inc. in March 2017. Ubiquoss Holdings Inc. was founded in 2000 and is headquartered in Seongnam, 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.