NEXTIN, Inc (348210) Fair Value & Analysis
Technology · KR · Market cap 596B KRW
Fair value as of: Jun 24, 2026
Analysis
NEXTIN, Inc (348210) currently trades at 45,250 KRW, while our model-based Fair Value estimate is 44,172 KRW — implying the stock looks roughly 2.4% 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
NEXTIN, Inc. manufactures defect inspection and metrology systems for semiconductor and display industries in South Korea. The company offers AEGIS wafer inspection systems that detect various defects, such as bridges, thinning, protrusion, footing, scratches, and particles in film, pattern-generation, planarization, ion implantation, and cleaning processes across semiconductor manufacturing sequences. It provides IRIS, a wafer metrology-inspection system to measure the vertical structures and find pattern defects during the HAR process steps in 3D semiconductor devices, as well as TSV processing in the advanced 3D packaging processes; KROKY, an inspection system offers advanced 2D and 3D imaging technologies optimized for front-end and packaging processes; and TWINS, an integration module to be installed onto the process equipment to measure the edge trimming processes and inspect its process defects. It also provides CubeScan technology, a multi-non-focal plane 3D image comparison…
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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.