Nsys Co (333620) Fair Value & Analysis
Industrials · KR · Market cap 54.7B KRW
Fair value as of: Jun 25, 2026
Analysis
Nsys Co (333620) currently trades at 5,000 KRW, while our model-based Fair Value estimate is 1,637 KRW — implying the stock looks roughly 67.3% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Nsys Co., Ltd. engages in ordering, manufacturing, producing, and delivering optimal vision inspection equipment for secondary battery production process and facility. It offers coater, roll-press and slitter surface, insulated coating, small battery, and perforation inspector; ultrasonic welding, laser welding, front tape height, seal pin welding, spatter, cylindrical visual, lamination, J/R width, 3D can-cap, tack welding, polymer figure inspector, polymer sealing thickness measurer, and polymer cell-checker; upper visual, tape height, five-sided visual, DMC label, and seal pin inspector; and upper/side welding, lower part welding, and end-plate inspector. The company also provides sealing inspection and isolation equipment, rank selector, and automobile battery defect sorter and grade sorter automation. In addition, it offers products for parts processing, 3D vision inspection on copper plate surface, automobile glass mirror base / rain sensor align inspection, automobile side gl…
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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.