Orbitech Co (046120) Fair Value & Analysis
Industrials · KR · Market cap 196B KRW
Fair value as of: Jun 24, 2026
Analysis
Orbitech Co (046120) currently trades at 5,830 KRW, while our model-based Fair Value estimate is 619.70 KRW — implying the stock looks roughly 89.4% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Orbitech Co., Ltd. engages in the nuclear energy, ISI, and aviation businesses in South Korea and internationally. The company provides radiation management of nuclear power plants and nuclear-related facilities, non-destructive testing, deregulation of radioactive waste, and radiation measurement and related products; operation of nuclear power plants, and non-destructive technology inspection, etc. It also manufactures and assembles parts for aircraft, including tail fuselage structure bulkhead assembly and precision machining parts, as well as aircraft precision parts. In addition, the company offers pre-service and in-service inspection services for nuclear power plant steam generator heat pipe, piping, equipment, and structures, as well as carbon steel pipe thinning. Further, it offers technology business finance services. The company exports its products to the United States and the United Arab Emirates. Orbitech Co., Ltd. was founded in 1991 and is headquartered in Seoul, Sou…
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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.