Xlife Sciences AG (XLS) Fair Value & Analysis
Healthcare · CH · Market cap CHF 133M
Fair value as of: Jun 25, 2026
Analysis
Xlife Sciences AG (XLS) currently trades at CHF 23.50, while our model-based Fair Value estimate is CHF 8.88 — implying the stock looks roughly 62.2% overvalued today. We read business quality at 80/100 (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: low).
About the company
Xlife Sciences AG focuses on the development and commercialization of research projects in the life sciences sector. The company's project covers technology platforms, biotechnology/therapies, medical technology, and artificial intelligence/digital health areas that focuses on identifying new therapeutic approaches and biomarkers for common diseases based on human genetic data. It also produces, researches, develops, and manufactures the chemical and active pharmaceutical ingredients for human and veterinary medicines; and offers clinical research organization services. In addition, the company builds a bridge between research/ development and healthcare markets, as well as support researchers and entrepreneurs in the positioning, structuring, development, and implementation of their ideas; and operates as an active ingredient manufacturer. Further, it focuses on identifying innovative biomarkers in the field of kidney diseases; the development of antibody-drug conjugates through a …
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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.