Woojinntec Inc (457550) Fair Value & Analysis
Utilities · KR · Market cap 202B KRW
Fair value as of: Jun 24, 2026
Analysis
Woojinntec Inc (457550) currently trades at 17,350 KRW, while our model-based Fair Value estimate is 6,208 KRW — implying the stock looks roughly 64.2% overvalued today. We read business quality at 91/100 (high quality), in the Utilities 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
Woojinntec Inc. operates as an instrumentation and control equipment maintenance company in South Korea. The company offers routine maintenance services for instrumentation and control equipment; planned preventive maintenance services for instrumentation and control systems; and equipment health diagnosis and improvement work. It also provides visual inspection, electron microscope examination, and function test for power supply; control rod coil inspection, RSPT check, PCM check, electronic card check, power supply inspection, and acquisition of control rod drive current waveform for control rod control system; electronic card function check, visual inspection of electronic cards, power supply performance test, optical cable surface inspection, optical cable loss rate measurement, optical cable polishing, inspection of auxiliary facilities, and facility improvement work for power plant control system; and checking the signal processing box, visual inspection of electronic cards, e…
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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.