GVS S.p.A (GVS) Fair Value & Analysis
Industrials · IT · Market cap €805M
Fair value as of: Jun 24, 2026
Analysis
GVS S.p.A (GVS) currently trades at €4.22, while our model-based Fair Value estimate is €1.97 — implying the stock looks roughly 53.3% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
GVS S.p.A., together with its subsidiaries, produces and sells filter solutions for applications in the healthcare and life sciences, energy and mobility, and health and safety sectors in Italy and internationally. The company offers health and safety products, such as hand dryer and vacuum cleaner filters; nailstation COSMO products; fume extraction and HVAC building products; and disposable masks, half masks, integra masks, powered air purifying respirators, face fit testing, replacement filters, supplied air respirators, spare parts, and accessories. It also provides autoclave filters, insufflation and ventilation filters and kits, machine filters, respiratory and anesthesia filters, smoke evacuation filters and kits, spirometry filters and accessories, suction filters, and tracheal humidifier filters; healthcare liquid products, such as bacterial air vents, blood tubular filters, infusion disc filters, IV and liquid filters, IV flow regulators, medical bags and components, steri…
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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.