Formpipe Software AB (FPIP) Fair Value & Analysis
Technology · SE · Market cap 1.6B SEK
Fair value as of: Jun 24, 2026
Analysis
Formpipe Software AB (FPIP) currently trades at kr 29.80, while our model-based Fair Value estimate is kr 11.24 — implying the stock looks roughly 62.3% 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: high).
About the company
Formpipe Software AB (publ) provides software and consulting services for capturing, managing, and distributing information in Sweden, Denmark, rest of Nordic countries, the United Kingdom, Germany, rest of Europe, North America, and internationally. The company offers products that are used to create, store, distribute, automate, relocate, archive, and manage information, data, and metadata. Its products include Lasernet that allows user to create and distribute documents for various ERP and bank; Autoform DM, a digital archive solution; Formpipe Cloud for document generation, delivery, and archiving through the cloud; Autoform DM for Dynamics 365; Lasernet for Business Central to create, manage, and distribute branded and formatted documentation; Lasernet for Document Input Management; Lasernet for Dynamics 365; Lasernet Vault365, a solution that supports data migration and Microsoft Dynamics 365 implementation; and X-docs, a SaaS-based quality management system solution. The comp…
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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.