Sang-A Frontec Co (089980) Fair Value & Analysis
Technology · KR · Market cap 292B KRW
Fair value as of: Jun 24, 2026
Analysis
Sang-A Frontec Co (089980) currently trades at 16,200 KRW, while our model-based Fair Value estimate is 8,666 KRW — implying the stock looks roughly 46.5% 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: medium).
About the company
Sang-A Frontec Co.,Ltd. engages in the research and development, production, and sale of materials/parts based on engineering plastics in South Korea and internationally. The company offers fuel cells; membranes, including vent filters and ePTFE for textiles, as well as membranes for medical use; semiconductor products, such as jar boxes, solar cassettes, FOUP products, wafer carriers, storage boxes, PFA/FEP tubes, and mold release films; medium and large, cylindrical, and small type batteries; and display products comprising cell cassettes, ACF bonding sheets, support bars, and FPD cassettes. It also provides automotive products consisting of air vents, and PTFE tubes and rings; OA products that include wireless charging kits, laser printer/MFP/copy machines, metal sleeves, fuser films, fuser and transfer belts, and guide claws; SG and LX sheet, and backup board PCBs; and medical devices, such as safety filter syringes, epidural needle kits, Green Medi green VACs, and filter needle…
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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.