Mentice AB (MNTC) Fair Value & Analysis
Healthcare · SE · Market cap 398M SEK
Fair value as of: Jun 24, 2026
Analysis
Mentice AB (MNTC) currently trades at kr 12.80, while our model-based Fair Value estimate is kr 22.14 — implying the stock looks roughly 73.0% 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: low) — always confirm before acting.
About the company
Mentice AB (publ), together with its subsidiaries, develops, sells, and markets solutions for training and decision support in the clinical area of interventional angiography in cardiology, neurology, vascular surgery, and radiology. It operates through the Mentice VIST, Physical Sim, and Ankyras segments. The company offers virtual simulation products, including VR simulator platforms; procedural learning models; peripheral vascular; patient simulator accessories and extensions for endovascular therapies; and Angiosuite integrations, such as the VIST virtual patient and Laerdal SimMan vascular medical simulator. It also provides flow model products, which include physiological flow systems, extensions and add-ons, silicone and 3D printed vessels, and flow system accessories; Ankyras, a clinical decision application; Mentice Live, a cloud-based learning center for medical technology industry and healthcare providers; Right Heart Cath app, a mobile solution for interactive real-time …
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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.