Rekor Systems, Inc (REKR) Fair Value & Analysis
Technology · US · Market cap $97.2M
Fair value as of: Jun 24, 2026
Analysis
Rekor Systems, Inc (REKR) currently trades at $0.6518, while our model-based Fair Value estimate is $0.9300 — implying the stock looks roughly 42.7% 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: low) — always confirm before acting.
About the company
Rekor Systems, Inc. provides infrastructure solutions for public safety, urban mobility, and transportation management markets in the United States and internationally. The company offers Rekor One, a roadway intelligence engine; Rekor Command for transportation management; Rekor Discover for urban mobility; Rekor Scout for public safety; and Rekor AutoNotice, cloud-based financial management application for contactless compliance, as well as Rekor CarCheck, an artificial intelligence (AI) based vehicle and license plate recognition technology. It also provides Rekor Edge Max, a fixed traffic data collection system that captures and transforms roadway data into holistic traffic insights; Rekor Edge Pro, a vehicle recognition solution that is used on a standalone basis or integrated into a network; and Rekor Edge Flex, a portable data collection system. In addition, the company provides traffic services, such as traditional traffic studies for permanent and temporary traffic analytic…
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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.