Diadrom Holding (DIAH) Fair Value & Analysis
Technology · SE · Market cap 28.7M SEK
Fair value as of: Jun 24, 2026
Analysis
Diadrom Holding (DIAH) currently trades at kr 2.76, while our model-based Fair Value estimate is kr 2.36 — implying the stock looks roughly 14.5% 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
Diadrom Holding AB (publ), a solutions and software company, engages in the diagnostics of autotech products with embedded software in Sweden, Germany, and the Netherlands. The company offers Autotech Bootloader, a stand-alone bootloader; Encrypt, an embedded software component that implements customer specific cyber security concepts; Diag Com Stack, an embedded software component designed to handle the on-board communication of ECUs together with basic diagnostics in a modern vehicle; Dolphin, a software system and verification tool for automated testing; and Diag Studio, an off-board diagnostics system product suit. It also provides consultancy; research and development, manufacturing, aftermarket, auto defense, academy, autotech, enablers, partner network, and diagnostics ecosystem solutions; and customer on-site, fixed-price projects, and maintenance services. The company serves the automotive, medtech, industrial machinery, defense, security, and public transport sectors. Diad…
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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.