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EO Technics Co (039030) Fair Value & Analysis

Technology · KR · Market cap 5.9T KRW

Price486,500 KRW
Fair Value96,475 KRW
Upside-80.2%
Quality95/100
Evidence: High Range 73,287 KRW – 119,663 KRW

Analysis

EO Technics Co (039030) currently trades at 486,500 KRW, while our model-based Fair Value estimate is 96,475 KRW — implying the stock looks roughly 80.2% 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: high).

About the company

EO Technics Co., Ltd. manufactures and supplies laser processing equipment worldwide. The company offers semiconductor products comprising strip markers, tray markers, wafer back side markers, wafer top side marker, and wafer ID markers; grooving and dicing products; cutting equipment for substrates; and drilling equipment for the strip and wafer types of POP. It also provides display products, such as laser lift off, PI glass cut, shape cut, chamfer cut, UV laser annealing, FPD markers, align key markers, laser trimmer OLED/TFT/CF trimmers, film cutters, Pol. film cutters, mask repairs, window glass cutters, and Laser patterning products; PCB equipment for drilling and marking applications; macro equipment for use in notching/cutting, welding, bonding, soldering, and marking applications; and laser products. EO Technics Co., Ltd. was founded in 1989 and is headquartered in Anyang-si, South Korea.

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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.