AUK Corp (017900) Fair Value & Analysis
Technology · KR · Market cap 477B KRW
Fair value as of: Jun 24, 2026
Analysis
AUK Corp (017900) currently trades at 7,370 KRW, while our model-based Fair Value estimate is 1,605 KRW — implying the stock looks roughly 78.2% overvalued today. We read business quality at 95/100 (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
AUK Corp. manufactures and sells electronic parts in South Korea and internationally. The company's products comprise opto sensors, such as emitters, detectors, LED's, IR receiver modules, infrared transceiver modules, photo interrupters, optical encoders, paper and UV sensors, and distance sensors; power semiconductor devices, including MOSFET, bipolar transistors, diodes, power management IC, analog IC, IGBTs, SiC power devices, module, and package information products; and LED and silicon photo chips, as well as unit process and wafer business. Its products are used for various applications comprising monitors, audio devices, set top boxes/DVD's, cameras, mobile phones and notebooks, refrigerators, air-conditioners, washing machines, robot cleaners, air and water purifiers, printers and copiers, ATM's and vending machines, medical equipment, LED lighting, and conveyors, as well as in automotive, induction heating, and industrial and drone applications. The company was founded in …
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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.