MiraeING.Co.,Ltd. (007120) Fair Value & Analysis
Industrials · KR · Market cap 35.3B KRW
Fair value as of: Jun 25, 2026
Analysis
MiraeING.Co.,Ltd. (007120) currently trades at 1,196 KRW, while our model-based Fair Value estimate is 2,586 KRW — implying the stock looks roughly 116.3% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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
MiraeING.Co.,Ltd. develops and supplies defense security products in South Korea and internationally. It offers shooting command equipment for self-propelled howitzers, and various fire power equipment. The company also provides messaging services to banking, securities, and other financial institutions and corporate customers; and Trade Services Utility, a service that in-sources and processes corporate processes in the open account transaction. In addition, it offers SafeWatch Filtering, an anti-money laundering system; eNisis, a financial messaging solution; Summit, an optimal derivative product solution; CTMS, a treasury business system; Wallstreet Suite that provides a tactical enterprise application platform to financial institutions and funds; Internet banking system that supports services, such as customer management, asset management, and corporate support to the Internet banking market; and cloud computing services. Further, the company provides consulting, implementation,…
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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.