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Velo3D, Inc (VELO) Fair Value & Analysis

Technology · US · Market cap $724M

Price$18.05
Fair Value$5.76
Upside-68.1%
Quality95/100
Evidence: Low Range $4.32 – $7.20

Analysis

Velo3D, Inc (VELO) currently trades at $18.05, while our model-based Fair Value estimate is $5.76 — implying the stock looks roughly 68.1% 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

Velo3D, Inc. produces and sells metal additive three-dimensional printers in the Americas, Europe, and internationally. Its printers enable the production of components for space rockets, jet engines, fuel delivery systems, and other metal parts. The company also offers Flow, a proprietary software platform, which scans part designs for geometrical features; Sapphire, Sapphire 1MZ, Sapphire XC, and Sapphire XC 1MZ printers; Assure, a quality assurance software platform; Developer, a new version of print preparation software that turns traditional design files into print files; and Intelligent Fusion, the underlying manufacturing process that binds and facilitates all aspects of the Velo3D fully integrated solution. It serves companies in the space, aviation, defense, automotive, energy, and industrial markets. The company was founded in 2014 and is headquartered in Fremont, California. Velo3D, Inc. operates as a subsidiary of Arrayed Additive inc.

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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.