G2Power Co (388050) Fair Value & Analysis
Industrials · KR · Market cap 158B KRW
Fair value as of: Jun 24, 2026
Analysis
G2Power Co (388050) currently trades at 7,920 KRW, while our model-based Fair Value estimate is 7,449 KRW — implying the stock looks roughly 5.9% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
G2Power Co. Ltd researches, develops, manufactures, and sells photovoltaic solar inverters, energy storage systems, and switchgear in South Korea. It offers photovoltaic power generation systems, power conversion systems, connection boards, solar radiation sensors, monitoring systems, and Electric fire monitoring devices in connection boards; and Arc monitoring and diagnosis services on the switchgear, transformer monitoring and diagnosis, switchgear total monitoring and diagnosis, remote monitoring and diagnosis functions, Internet of things-based monitoring diagnosis, and switchgear partial discharge diagnosis services. In addition, the company provides building automation systems, wireless remote controls, electric demand controls, power conditioning and management systems, energy management systems, PD monitoring solutions, and battery Arc monitoring diagnosis services. Its products have applications in schools, factories, shopping centers, apartment hospitals, water and sewage …
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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.