Revenio Group (REG1V) Fair Value & Analysis
Healthcare · FI · Market cap €373M
Fair value as of: Jun 24, 2026
Analysis
Revenio Group (REG1V) currently trades at €12.60, while our model-based Fair Value estimate is €14.39 — implying the stock looks roughly 14.2% 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: high) — always confirm before acting.
About the company
Revenio Group Oyj, provides ophthalmological devices and software solutions for the diagnosis of glaucoma, macular degeneration, and diabetic retinopathy in Finland, the United States, and internationally. The company offers iCare IC100, ST500, and IC200 tonometers; iCare HOME2, a tonometer to measure eye pressure; iCare Sensors that are accessories of iCare tonometer for measuring intraocular pressure (IOP); iCare TONOVET Pro, a tonometer designed for use in surgical or emergency settings; and iCare TONOVET Plus tonometer, which is used by veterinarians, ophthalmologists and other personnel to measure intraocular pressure in animal patients. It also provides imaging devices comprising iCare EIDON, a device with confocal retinal imaging; iCare DRSplus, a device for pupil imaging; and iCare COMPASS, which provides fundus perimetry with true-color confocal retinal images. In addition, the company offers iCare ILLUME, a screening software that helps to detect the early signs of diabeti…
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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.