MICUBE Solution Inc (373170) Fair Value & Analysis
Technology · KR · Market cap 33.6B KRW
Fair value as of: Jun 24, 2026
Analysis
MICUBE Solution Inc (373170) currently trades at 1,934 KRW, while our model-based Fair Value estimate is 2,108 KRW — implying the stock looks roughly 9.0% 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: high) — always confirm before acting.
About the company
MICUBE Solution Inc. provides digital transformation solutions for manufacturing sites. It offers Smart Factory, a cloud-based MES solution that connects the manufacturing sites with the legacy systems; and Manufacturing AI, which comprises SmartEES equipment engineering system solution and SmartAI Machine Learning Operations platform to support the development and operations of manufacturing AI services. The company also provides Digital Twin, a platform that integrates and connects the legacy systems, and its smart factory and manufacturing intelligence solutions to build the manufacturing data pipeline that integrates and synchronizes product, process, plan, plant, and resource snapshot information, as well as offers related consulting services. It serves the electric and electronic, semiconductors, machinery, battery, and food and beverages industries. The company was founded in 2005 and is headquartered in Seoul, 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.