YounglimwonSoftLab Co. (060850) Fair Value & Analysis
Technology · KR · Market cap 43.6B KRW
Fair value as of: Jun 25, 2026
Analysis
YounglimwonSoftLab Co. (060850) currently trades at 5,140 KRW, while our model-based Fair Value estimate is 11,260 KRW — implying the stock looks roughly 119.1% undervalued today. We read business quality at 95/100 (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
YounglimwonSoftLab Co.Ltd engages in the development and supply of system software and enterprise resource planning (ERP) solutions in South Korea and internationally. It offers K-System Ace, an ERP solution for corporate digital transformation; K-System Genuine, an enterprise-architecture solution and business management integration system for general manufacturing and distribution/logistics, equipment manufacturing, engineering/plant, and services/education/leisure/IT/consulting, energy/environment, shipbuilding materials, clothing/apparel and specialized construction, and public agency/research center/association; and budget management system for public/non-profit sectors. The company also provides SystemEver; SystemEver for non-profit; EverTime; EverPayroll; and Flextudio solutions. In addition, it offers K-System Mobile for mobile platform; K-System BI for strategic decision-making in a timely manner; K-System Management Analysis for data analysis management; K-Studio, an enter…
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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.