Nepes Corporation (033640) Fair Value & Analysis
Technology · KR · Market cap 748B KRW
Fair value as of: Jun 24, 2026
Analysis
Nepes Corporation (033640) currently trades at 28,200 KRW, while our model-based Fair Value estimate is 14,383 KRW — implying the stock looks roughly 49.0% overvalued today. We read business quality at 80/100 (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: medium).
About the company
Nepes Corporation engages in the semiconductor, chemical, and energy businesses in South Korea. It offers turnkey solutions for flip chip bumping, wafer-level packaging, fan-out wafer level packaging, panel level packaging, and fan-out wafer level system in packaging solutions, as well as semiconductor back-end processing and electric tests. The company also develops and supplies artificial intelligence semiconductors solutions. In addition, it provides functional photo/wet chemical products for semiconductor and display processes applied to smartphones and automobiles; and colorants and color pastes for TFT-LCD color filters and touch screen panels. Further, the company offers lead tabs for secondary batteries; and smart films for controlling the transparency of the windows. Additionally, it provides design, construction, architecture solutions for factories, industrial architecture, and other facilities. Nepes Corporation was founded in 1990 and is headquartered in Cheongju-si, S…
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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.