Duos Technologies Group (DUOT) Fair Value & Analysis
Technology · US · Market cap $386M
Fair value as of: Jun 24, 2026
Analysis
Duos Technologies Group (DUOT) currently trades at $12.09, while our model-based Fair Value estimate is $4.97 — implying the stock looks roughly 58.9% 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
Duos Technologies Group, Inc. designs, develops, deploys, and operates intelligent technology solutions in North America. Its solutions include applications for real-time data acquisition and analysis, including the inspection and monitoring of fast-moving vehicles, as well as the deployment of distributed computing infrastructure and related services. The company is also involved in development and deployment of edge data center infrastructure and related hosting services; design and delivery of Artificial Intelligence (AI)-enabled technologies and analytics platforms; provision of technology systems and integrated solutions for infrastructure and industrial applications; delivery of consulting and energy-related services, including power infrastructure planning and asset management services; and provision of technology solutions services, including procurement, logistics coordination, and deployment support for digital infrastructure projects. It also engages in the provision of t…
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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.