3D Systems Corporation (DDD) Fair Value & Analysis
Technology · US · Market cap $583M
Analysis
3D Systems Corporation (DDD) currently trades at $3.14, while our model-based Fair Value estimate is $3.21 — implying the stock looks roughly 2.2% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
3D Systems Corporation provides 3D printing and digital manufacturing solutions in North and South America, Europe, the Middle East, Africa, the Asia Pacific, and Oceania. The company operates through two segments, Healthcare Solutions and Industrial Solutions. It offers 3D printing technologies, including stereolithography (SLA), selective laser sintering, direct metal printing, MultiJet printing, ColorJet printing, polymer extrusion, and extrusion and SLA based bioprinting. The company's print materials include plastic, nylon, metal, composite, elastomeric, wax, polymeric dental materials, and biocompatible materials. It also provides digital design tools, such as software, scanners, and haptic devices, as well as solutions for product design, simulation, mold and die design, 3D scan-to-print, reverse engineering, production machining, metrology, and inspection and manufacturing workflows. In addition, the company offers software platforms, including 3D Sprint and 3DXpert, which 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.