DAIHAN Scientific Co (131220) Fair Value & Analysis
Technology · KR · Market cap 28.8B KRW
Fair value as of: Jun 25, 2026
Analysis
DAIHAN Scientific Co (131220) currently trades at 3,525 KRW, while our model-based Fair Value estimate is 8,806 KRW — implying the stock looks roughly 149.8% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
DAIHAN Scientific Co., Ltd. manufactures and supplies laboratory instruments and medical devices in South Korea and internationally. It offers autoclaves, balances, centrifuges, evaporators, gel documentation systems, heating stirrers, mills, shakers, viscometers, refrigerators/freezers, bath circulators, chillers/cooling circulators, freeze dry systems, glass/labware washers, heating mantles, hotplates, ovens, stirrers, water purification products, incubators, baths, desiccator cabinets, furnaces, heating blocks/dry bath incubators, homogenizers, magnifiers, reactors, and ultrasonic cleaners, as well as smart-lab and touch screen systems under the Wisd brand. It also provides DAIHAN Smart-Lab controller for data recording, storage management, and self-diagnostic functions; and Wire App and web services that enables gathering, analyzing, and sharing of experimental data. The company was founded in 1980 and is headquartered in Wonju-si, South Korea.
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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.