KPM TECH Co (042040) Fair Value & Analysis
Basic Materials · KR · Market cap 1.9B KRW
Fair value as of: Jun 25, 2026
Analysis
KPM TECH Co (042040) currently trades at 749.00 KRW, while our model-based Fair Value estimate is 403.36 KRW — implying the stock looks roughly 46.1% overvalued today. We read business quality at 88/100 (high quality), in the Basic Materials 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
KPM TECH Co., Ltd. operates in the surface treatment industry in South Korea. The company offers surface treatment chemicals for PCB process, tin plating process, POP process, preprocessing parts, electrolytic copper and nickel parts, and chrome and post-process parts. It also provides automatic surface treatment systems, such as vertical continuous transfer surface handling type, flow through plater, elevator type, dip type, and reel to reel type; and surface treatment related supplementary facility, which includes make-up rooms and automatic polish supplying devices. In addition, the company offers surface treatment related supplementary devices comprising auto loading/unloading devices, conveyor transfer devices, filters, rectifiers, dryers, piping, auto loaders, barrels, heat exchangers, and other devices; control systems, such as auto setters and production management solutions; and other equipment. Further, it provides healthcare comfortable textiles for the deactivation of vi…
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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.