ODTech Co (080520) Fair Value & Analysis
Technology · KR · Market cap 31.0B KRW
Fair value as of: Jun 24, 2026
Analysis
ODTech Co (080520) currently trades at 2,735 KRW, while our model-based Fair Value estimate is 1,564 KRW — implying the stock looks roughly 42.8% 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: low).
About the company
ODTech Co., Ltd. manufactures and sells semiconductors in South Korea. The company's products include silicon chips, such as zener diodes, sub-mounts, power transistors and diodes, fast recovery diodes, photo transistors and diodes, and photo diode arrays, as well as semiconductor packaging products; quantum dots; and opto devices, such as emitters, detectors, photo interrupters, and optical sensors. It also offers tiny photoelectric sensors, area sensors, photomicrosensors, bubble sensors, position detection sensors, distance detection sensors, bead detection sensors, H 2 O detection sensors, and UV sensors; and LED dot matrix products, including indoor, semi outdoor, and outdoor products, as well as lighting products, such as living lighting, landscape lighting, and agricultural and life application lighting products. The company's products are used in office and industrial appliance, automotive, medical equipment, consumer, lighting and other applications. ODTech Co., Ltd. was fo…
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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.