Sensys Gatso Group (SGG) Fair Value & Analysis
Technology · SE · Market cap 564M SEK
Fair value as of: Jun 25, 2026
Analysis
Sensys Gatso Group (SGG) currently trades at kr 46.90, while our model-based Fair Value estimate is kr 72.16 — implying the stock looks roughly 53.9% 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: medium) — always confirm before acting.
About the company
Sensys Gatso Group AB (publ), together with its subsidiaries, provides automated traffic enforcement solutions in Sweden and internationally. It operates in two segments, System Sales and Managed Services. The company offers fixed spot, portable, moving in-vehicle, and smart in-tunnel speed enforcement, as well as section control and dual speed warning and enforcement system; red light enforcement; U.S. solutions; and road safety in school zones solutions, including school crossing dual warning and enforcement system and stopping violation system for school buses. It also provides vehicle access control solutions, such as low emission zone, vehicle restricted urban zone, dedicated vehicle lane compliance, and selective short-cut enforcement; and uninsured vehicles and traffic policing. In addition, the company offers back-office software solutions comprising Flux, a sensor data collection and management platform; Puls, a data collection and analytics software; and Xilium, a violatio…
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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.