Woojin Inc (105840) Fair Value & Analysis
Technology · KR · Market cap 365B KRW
Fair value as of: Jun 24, 2026
Analysis
Woojin Inc (105840) currently trades at 16,400 KRW, while our model-based Fair Value estimate is 7,465 KRW — implying the stock looks roughly 54.5% overvalued today. We read business quality at 80/100 (high quality), in the Technology 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
Woojin Inc. engages in the developing and manufacturing of industrial measuring instruments in South Korea. The company offers various instruments ranging from the ICI assembly, RSPT, PI RTD, CEDM coil, integrated auto manual station, LCD type indicator, paperless recorder, TC and RTD, and pressure gauge and switch, as well as refabricated, IHA, HJTC MI, and ICI MI cable assembly for nuclear power plants; and calibration and measurement, and flow metering system. It also provides automation equipment, such as automatic measuring device for chartering temperature at the exit of the blast furnace, main lance system, sub lance system, automatic temperature measurement and sampling device for steel making, automatic measuring device for molten steel hydrogen, top bubbling system, bottom bubbling system, injection lance, wire feeding device, molten metal surface level measurement device, molten metal surface level measurement device, continuous temperature measuring device for continuous…
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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.