Autoscope Technologies Corporation (AATC) Fair Value & Analysis
Technology · US · Market cap $29.0M
Fair value as of: Jun 24, 2026
Analysis
Autoscope Technologies Corporation (AATC) currently trades at $5.29, while our model-based Fair Value estimate is $5.06 — implying the stock looks roughly 4.3% 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: high).
About the company
Autoscope Technologies Corporation develops and markets video and radar processing products for use in intersection control, highway, bridge and tunnel traffic management, and traffic data collection applications in the Asia, Europe, the Middle East, and North America. The company provides Autoscope video systems that process video input from a traffic scene in real time and extracts the traffic data, including vehicle presence, bicycle presence/differentiation, counts, speed, length, time occupancy, turning movements, and flow rate; Autoscope Analytics a traffic safety platform that reduces traffic-related fatalities and injuries; Autoscope IntelliSight, offers detection algorithms with Artificial Intelligence (AI) and machine learning; and Autoscope Vision, flagship integrated product that includes a color high definition, zoom camera and machine vision processing computer contained in a compact housing. The company markets and sells its products to end users comprising federal, 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.