EmbeddedArt Group (EMART) Fair Value & Analysis
Technology · SE · Market cap 233M SEK
Fair value as of: Jun 24, 2026
Analysis
EmbeddedArt Group (EMART) currently trades at kr 7.00, while our model-based Fair Value estimate is kr 1.52 — implying the stock looks roughly 78.3% 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: medium).
About the company
EmbeddedArt Group AB (publ) conducts research, development, training, and consulting within defense security systems and the IT sector, as well as related activities in Sweden. The company develops sonar and UV sensor systems; ship technology on naval vessels; administration, integrated logistic support, and IT-security and system safety; communication systems; as well as project management, maintenance, and verification and validation services. It also offers underwater technology, including hydroacoustics, sensors systems, and electronics. In addition, it provides IoT platforms and commercial applications, including boat alarms, trackers, and intelligent devices for boats under the brand C-Pod, as well as provides trackers for general use under the brand Spara. The company was formerly known as C Security Systems AB (publ) and changed its name to EmbeddedArt Group AB (publ) in April 2024. EmbeddedArt Group AB (publ) was incorporated in 2011 and is based in Stockholm, 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.