Rayence Co (228850) Fair Value & Analysis
Healthcare · KR · Market cap 108B KRW
Fair value as of: Jun 24, 2026
Analysis
Rayence Co (228850) currently trades at 5,780 KRW, while our model-based Fair Value estimate is 8,695 KRW — implying the stock looks roughly 50.4% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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
Rayence Co., Ltd., together with its subsidiaries, engages in the development, manufacture, and sale of digital X-ray detector products for dental, medical, veterinary, and industrial sectors in South Korea, the United States, Mexico, China, and internationally. The company offers TFT/CMOS X-ray detectors for general radiography, C-arm/RF, mammography, and radiotherapy; and CMOS/Super IGZO TFT/a-Si TFT X-ray detectors for applications, such as dental, veterinary, AXI, die-casting, 2D/3D inline/offline, pipe inspection, etc. It also provides radiography imaging software products, including Xmaru Pro, Xmaru View V1, Xmaru W, Xmaru RF, Xmaru NDT, Vetview Pro, VXV console, Ez Dent Vet, Xmaru PACS, and VXV PACS. In addition, the company offers medical information systems for veterinary hospitals; and engages in veterinary medical device and medicine wholesale and retail business, as well as research and development of process equipment and deposition materials. Further, it is involved in…
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Frequently asked questions
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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.