EG Corporation (037370) Fair Value & Analysis
Basic Materials · KR · Market cap 30.4B KRW
Fair value as of: Jun 24, 2026
Analysis
EG Corporation (037370) currently trades at 3,015 KRW, while our model-based Fair Value estimate is 4,685 KRW — implying the stock looks roughly 55.4% undervalued today. We read business quality at 80/100 (high quality), in the Basic Materials 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: low) — always confirm before acting.
About the company
EG Corporation engages in iron oxide, ferrite powder, engineering, and trading businesses in South Korea. It produces and sells iron oxide for ferrite and pigments, as well as compound powders, such as ferrite powder, Ni-Zn, and electromagnetic blocks used for industrial material of soft or hard ferrite, and basic material of pigments. The company also provides plant engineering services for waste incineration, biomass and neo-renewable energy, waste heat recovery, gasification generating, storage and fuel supplement, and ash treatment plants; environmental plants; industrial plants comprising material handling equipment, waste preprocessing facilities, and dryer facilities; and offers dust removing, and carbon capture and storage services. In addition, it is involved in the research and development of non-carbon anode materials and nanoscale silicon powders, as well as solid oxide fuel cell anode materials, and solid hydrogen storage materials; and trading of scrap metal intermedia…
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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.