Stevanato Group (STVN) Fair Value & Analysis
Healthcare · US · Market cap $5.1B
Analysis
Stevanato Group (STVN) currently trades at $16.87, while our model-based Fair Value estimate is $6.17 — implying the stock looks roughly 63.4% 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
Stevanato Group S.p.A. engages in the design, production, and distribution of products and processes to provide solutions for biopharma and healthcare industries in Europe, the Middle East, Africa, North America, South America, and the Asia Pacific. It operates through two segments, Biopharmaceutical and Diagnostic Solutions; and Engineering. The company offers drug containment solutions comprising pre-fillable syringes, cartridges, vials, and ampoules; in-vitro diagnostic solutions; drug delivery systems, including pen injectors, auto-injectors, and wearable injectors; diagnostic laboratory consumables; analytical and regulatory support services; medical devices; pharmaceutical visual inspection machines; assembling and packaging machines; glass converting machines; and after-sales services, such as line optimization and line conversions, training, logistics, spare parts and maintenance services. It also provides contract development and manufacturing services for customer-owned dr…
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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.