SCHOTT Pharma AG (1SXP) Fair Value & Analysis
Healthcare · DE · Market cap €2.7B
Analysis
SCHOTT Pharma AG (1SXP) currently trades at €17.06, while our model-based Fair Value estimate is €14.85 — implying the stock looks roughly 13.0% 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
SCHOTT Pharma AG & Co. KGaA develops, manufactures, and sells drug containment solutions and delivery systems for injectable drugs for pharma, biotech, and life science industries worldwide. The company offers syriQ, a glass syringe for vaccines; syriQ BioPure, a glass syringe for biologics; syriQ BioPure silicone-free, a prefillable and silicone-free glass syringe for biologics; SCHOTT TOPPAC, a polymer syringe; SCHOTT TOPPAC cosmetic, a polymer syringe for aesthetic treatments; SCHOTT TOPPAC freeze, a polymer syringe for deep-cold applications; SCHOTT TOPPAC sensitive, a polymer syringe for sensitive drugs; SCHOTT TOPPAC infuse, a polymer syringe for infusion therapy; SCHOTT TOPPAC unique, a polymer container; and SCHOTT TOPPAC cartridge. It also provides pharmaceutical glass cartridge, such as cartriQ for peptide and protein-based injectables; cartriQ Large Volume for large-volume injectables; Cartridges Double Chamber for lyophilized drugs; Cartridges Break Resistant; and TopLin…
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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.