Duksan Hi Metal Co (077360) Fair Value & Analysis
Technology · KR · Market cap 661B KRW
Fair value as of: Jun 24, 2026
Analysis
Duksan Hi Metal Co (077360) currently trades at 11,600 KRW, while our model-based Fair Value estimate is 10,876 KRW — implying the stock looks roughly 6.2% 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
Duksan Hi Metal Co.,Ltd manufactures and sells soldering materials for use in semiconductor packaging primarily in South Korea. The company offers solder ball, a semiconductor packaging technology that transmits electric signals by connecting chips and boards; solder paste, a substance for surface mounting technology and formation of flip chip bump, which solders technology as electronic component keep being developed; and solder powder, a substance of solder paste that is used for soldering PCBs and devices. The company also provides anisotropic conductive film (ACF) for directional electrical contact and chemical bonding, such as display, drive IC, PCB, etc.; conductive particle, a component of ACF that anisotropically controls electrical current; cored solder ball, which forms bumps between a substrate and a chip; low alpha tin for solving the problem of soft errors occurred in chips; silver nanowires; thermally conductive pastes; and EMI shielding pastes. The company was founded…
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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.