DistIT AB (DIST) Fair Value & Analysis
Technology · SE · Market cap 166M SEK
Fair value as of: Jun 26, 2026
Analysis
DistIT AB (DIST) currently trades at kr 0.1500, while our model-based Fair Value estimate is kr 0.0700 — implying the stock looks roughly 53.3% 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: low).
About the company
DistIT AB (publ), together with its subsidiaries, distributes IT accessories, data communications, consumer electronics, networking, electric car charging and Audio/Video products in Sweden, Denmark, Finland, Norway, and rest of Europe. It provides offices, smart homes, charging electronics, mobile accessories, and electric car charging; keyboards, mice, mouse pads, chairs, tables, cables, console accessories, and e-sports equipment; gaming products; audio products, including headphones, headsets and speakers for laptops, tablets, and smartphones; installation products and accessories, such as charging cables; fans, portable Acs, fan heaters, and light strings for indoor and outdoor use; power strips, adapters, hoses, thermometers, accessories for dryers, dishwashers, and washing machines; accessories for laptops, tablets and smartphones; and AV and specialty products. The company offers its products under DELTACO, DELTACO GAMING, L33T, STREETZ, EFUEL, NORDIC HOME, NORDIC QUALITY, E…
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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.