ITAB Group (ITAB) Fair Value & Analysis
Industrials · SE · Market cap 3.7B SEK
Fair value as of: Jun 24, 2026
Analysis
ITAB Group (ITAB) currently trades at kr 14.40, while our model-based Fair Value estimate is kr 14.75 — implying the stock looks roughly 2.4% undervalued today. We read business quality at 93/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
ITAB Group AB (publ) develops, manufactures, sells, and installs store concepts for retail chain stores. The company provides solution design, customized shop fittings, checkouts, consumer flow solutions, professional lighting systems, light planning, audio systems and energy reduction service and digitally interactive solutions for the physical stores. It offers checkouts and self-service systems; click and collect, an automated and convenient online delivery option; consumer and colleague safety systems; consumer interaction systems; security gates for entrance and exit; queue management systems; standard fittings and accessories; and retail lighting products. The company also provides solution design; services to consolidate goods not for resale; installation and assembly services for retail concepts; and after-care and maintenance services. It serves grocery, home improvements, fashion, consumer electronics, cafes and service stations, pharmacy, and health and beauty sectors. Th…
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Frequently asked questions
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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.