Wiscom Co (024070) Fair Value & Analysis
Basic Materials · KR · Market cap 29.1B KRW
Fair value as of: Jun 24, 2026
Analysis
Wiscom Co (024070) currently trades at 1,808 KRW, while our model-based Fair Value estimate is 1,488 KRW — implying the stock looks roughly 17.7% overvalued today. We read business quality at 95/100 (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: medium).
About the company
Wiscom Co.,Ltd. manufactures and sells plastic products in South Korea. It operates through PNP and Manufacturing divisions. The company offers semi conductive, HFFR and HFIX, crosslinked type XLPE, power cable, communication cable, flame retardant cable, heat resistant cable, cold resistant cable, oil resistant, solar power cable, marine cable, automobile cable, automobile interior/exterior, rat and ant repellent, equipment wire PVC, hose pipe, and other compounds; and internal compounds for voltage power cables, as well as semi-conductive compounds for cables. It also produces soft/hard PVC, PO, masterbatch, and conductive compounds; and LG Chem/LG MMA OEM products, such as ABS/PS compounds, EP compounds, and PMMA compounds. The company was founded in 1973 and is headquartered in Ansan-Si, South Korea.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Wiscom Co (024070) undervalued?
What is the fair value of 024070?
What is the quality score of 024070?
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.