ContextVision AB (CONTX) Fair Value & Analysis
Healthcare · NO · Market cap 256M NOK
Fair value as of: Jun 24, 2026
Analysis
ContextVision AB (CONTX) currently trades at kr 3.50, while our model-based Fair Value estimate is kr 0.9300 — implying the stock looks roughly 73.4% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: high).
About the company
ContextVision AB (publ), a software company, provides image analysis and imaging for medical systems in South Korea, China, Japan, the United States, and internationally. The company offers image quality solutions for ultrasound, as well as its Rivent platform comprising Rivent, a 2D image enhancement; Rivent Plus, a premium 2D image enhancement product; Rivent 3D, a solution for improving image quality of 3D ultrasound; and Rivent Mobile, a 2D image enhancement for handheld devices for diagnostics in various fields, including radiology, cardiology, women's health, veterinary medicine, and point of-care applications. It also provides Altumira platform, which features scatter correction and improves radiography by enabling radiation dose reduction while enhancing image quality, such as Altumira for static applications; and Altumira Plus for dynamic applications. In addition, the company offers image quality solutions for MRI including GOPView MRI2Plus for the requirements of each app…
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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.