LOTTE INNOVATE Co (286940) Fair Value & Analysis
Technology · KR · Market cap 300B KRW
Fair value as of: Jun 24, 2026
Analysis
LOTTE INNOVATE Co (286940) currently trades at 17,470 KRW, while our model-based Fair Value estimate is 22,950 KRW — implying the stock looks roughly 31.4% undervalued today. We read business quality at 91/100 (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
LOTTE INNOVATE Co.,Ltd provides IT services in Korea and internationally. The company offers digital transformation consulting solutions, such as Smart Factory, a platform that views and controls demand prediction, production process, and safety management in real time; Smart Logistics, an automated logistic and IT solution for the entire process from transportation to storage and delivery; Smart farm, an automation platform for IoT, Cloud, and Big Data; and Smart Retail. It also provides security solutions, security management, security system integration, and security consulting services. In addition, the company provides Medical IT, an IT-based In-hospital platform; and HI-U platform, a lifecare platform that provides medical checkups, health notes, medication intake management, insurance care, health; intelligent, automated, and smart buildings; Smart Transportation, a convenient and safe transportation system using information technology; facility management solutions for effec…
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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.