Vytrus Biotech, S.A (VYT) Fair Value & Analysis
Healthcare · ES · Market cap €123M
Fair value as of: Jun 24, 2026
Analysis
Vytrus Biotech, S.A (VYT) currently trades at €18.50, while our model-based Fair Value estimate is €6.97 — implying the stock looks roughly 62.3% 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
Vytrus Biotech, S.A. develops, produces, and sells active ingredients from plant stem cells in Spain and internationally. It offers Clarivine that activates skin's regeneration processes; Quora Noni biomics for rejuvenating the skin microbiota; Deobiome Noni, a prebiotic deodorant to reduce the generation of body odour; Sarcoslim Re-Shape, an active ingredient to reduce fat on tissue; Capilia Longa that improves density in hair, eyebrows, and eyelashes; and Luminia Granatum that brightens skin, whitens dark spots, evens skin tone, and protects against oxidative stress. The company also provides Baolift that improves muscle tone and facial complexion; Elaya Renova that boosts hair tensegrity; Kannabia Sense, a prebiotic treatment that stimulates the skin microbiota to produce an in-situ postbiotic cocktail; Quora Noni to avoid the attack of skin harmful bacteria; Centella Reversa for facial complexion improvement; and Arabian Cotton to protect and repair cell structures against sun d…
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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.