Fine Semitech Corp (036810) Fair Value & Analysis
Technology · KR · Market cap 686B KRW
Fair value as of: Jun 24, 2026
Analysis
Fine Semitech Corp (036810) currently trades at 26,400 KRW, while our model-based Fair Value estimate is 35,558 KRW — implying the stock looks roughly 34.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Fine Semitech Corp. develops and supplies products to semiconductor and FPD industries in South Korea and internationally. It operates through Materials Division, Equipment Division and Semiconductor distribution segments. The company offers semiconductor and FPD Pellicle, a thin membrane that stretched over an aluminum frame and glued to the photomask to protect it from contaminants, such as particles. It also provides compressor, cryogenic, heat exchanger, and thermo-electrical chillers, as well as temperature and humidity controllers. In addition, the company sells and markets sensor semiconductors, electronic semiconductors, LEDs, and microcontrollers, as well as other products, including cell phones, LCD TVs, LCD panels, monitors, set-up boxes, home appliances, computers, communication networks, vehicles, etc. Further, it offers after-sales and technical support services. The company was formerly known as FST Inc. and changed its name to Fine Semitech Corp. in March 2007. Fine …
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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.