Stratasys Ltd (SSYS) Fair Value & Analysis
Technology · US · Market cap $749M
Fair value as of: Jun 25, 2026
Analysis
Stratasys Ltd (SSYS) currently trades at $8.34, while our model-based Fair Value estimate is $4.04 — implying the stock looks roughly 51.6% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Stratasys Ltd. provides connected polymer-based 3D printing solutions. It offers range of 3D printing systems, including polyjet printers, fused deposition modeling (FDM) printers designed for prototyping, manufacturing tools, and production parts; PolyJet printers to print multiple materials including color printing in a single part build; pantone having validated colors, and multiple material properties; TechStyleTM, which allows 3D printing directly on different kinds of fabrics, enabling series productions in the fashion industry; Anatomy, which helps medical device companies optimize design throughout the product lifecycle; GelMatrix resin; TissueMatrix resin; BoneMatrix resin; and Digital Anatomy Creator to create different anatomical structures by customizing specific bio-mechanical properties and color. It also offers GrabCAD software for medical users; J35 Pro 3D an all-in-one, multi material desktop 3D printer; 5 DentaJet and J3 DentaJet for the dental and medical; stereol…
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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.