Vaso Corporation (VASO) Fair Value & Analysis
Healthcare · US · Market cap $33.4M
Fair value as of: Jun 25, 2026
Analysis
Vaso Corporation (VASO) currently trades at $0.2000, while our model-based Fair Value estimate is $0.3000 — implying the stock looks roughly 50.0% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: high) — always confirm before acting.
About the company
Vaso Corporation, together with its subsidiaries, operates in the healthcare equipment and information technology industries in the United States and internationally. It operates in three segments: IT, Professional Sales Service, and Equipment. The IT segment primarily focuses on healthcare IT and managed network technology services. This segment offers managed network infrastructure, such as routers, switches, and other core equipment; managed network transport; and managed network security services. The Professional Sales Service segment principally focuses on the sale of healthcare capital equipment for General Electric Healthcare, Inc. (GEHC) into the health provider middle market. Its offerings include GEHC diagnostic imaging equipment and ultrasound systems, GEHC service agreements, GEHC training, and GEHC and third-party financial services. The Equipment segment primarily focuses on the design, manufacture, sale, and service of proprietary medical devices and software. This s…
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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.