Image Systems AB (IS) Fair Value & Analysis
Technology · SE · Market cap 95.0M SEK
Fair value as of: Jun 25, 2026
Analysis
Image Systems AB (IS) currently trades at kr 0.9360, while our model-based Fair Value estimate is kr 1.20 — implying the stock looks roughly 28.2% 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
Image Systems AB, a technology company, develops and markets software and systems for non-contact measurement technology and advanced image processing markets in North and South America, Europe, Asia and internationally. It operates in two segments, RemaSawco and Motion Analysis. The company offers software for motion analysis of applications in the defense, aviation, automotive, and other industries; and products and systems in scanning technology, smart data analysis, and optimization for the sawmill industry, as well as timber intake, timber sorting, saw-line, board sorting, and modern automation solutions. It also provides software for analyzing films, such as TEMA used in testing military equipment, car crash tests and university research; and TrackEye used in defense testing and aerospace industries, as well as products and services in image processing. Image Systems AB was founded in 1954 and is headquartered in Linköping, Sweden.
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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.