HUMAN TECHNOLOGY Co (175140) Fair Value & Analysis
Technology · KR · Market cap 58.2B KRW
Fair value as of: Jun 25, 2026
Analysis
HUMAN TECHNOLOGY Co (175140) currently trades at 2,335 KRW, while our model-based Fair Value estimate is 437.08 KRW — implying the stock looks roughly 81.3% overvalued today. We read business quality at 94/100 (high quality), in the Technology 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: low).
About the company
HUMAN TECHNOLOGY Co., Ltd develops and manufactures wireless communication devices in South Korea and internationally. The company offers C-UAS products and solutions, including counter-drone systems, signal detection and position systems, RF scanners, and optical surveillance products; spectrum monitoring and signal analysis systems; RF safety solutions, such as EMF measuring equipment and monitoring; and quantum sensing technology solutions. It also provides AI speakers, wearables, mobile routers, and communication modules; and sells refurbished home appliances and other products through open markets and its own online mall. In addition, the company operates dining restaurants under the Sadaebu House brand; Delicious Seasonal Table, a Korean home shopping brand; and Seaside, a seafood specialty F&B brand, as well as offers video media and social media contents. The company was formerly known as INFOMARK Co., Ltd and changed its name to HUMAN TECHNOLOGY Co., Ltd in March 2024. HUMA…
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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.