DAEYANG ELECTRIC.Co.,Ltd. (108380) Fair Value & Analysis
Industrials · KR · Market cap 179B KRW
Fair value as of: Jun 25, 2026
Analysis
DAEYANG ELECTRIC.Co.,Ltd. (108380) currently trades at 16,860 KRW, while our model-based Fair Value estimate is 42,435 KRW — implying the stock looks roughly 151.7% 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: high) — always confirm before acting.
About the company
DAEYANG ELECTRIC.Co.,Ltd. provides marine lighting, communication system, power system, underwater system, and industrial sensors in South Korea and internationally. It offers general and LED, navigation and signal, search, receptacle and switch, and reefer container socket lights for onshore and offshore plants, and naval ships. The company also provides integrated communication systems, wireless integrated communication systems, SDN-21 cloud communication systems, plotting tables, ship shore communication link systems, reefer container monitoring systems, and side thruster controllers, as well as naval ship integrated information services. In addition, it offers power systems, such as switch boards for navy, starter panels, emergency switchboards, main switchboards, battery charging and discharging panels, power generation controllers, cooling and heating EDBs, cubicle racks, extension supply contactors, and earth boxes. Further, the company offers mine disposal, semi-autonomous u…
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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.