Upsales Technology AB (UPSALE) Fair Value & Analysis
Technology · SE · Market cap 423M SEK
Fair value as of: Jun 24, 2026
Analysis
Upsales Technology AB (UPSALE) currently trades at kr 23.00, while our model-based Fair Value estimate is kr 26.67 — implying the stock looks roughly 16.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
Upsales Technology AB (publ) operates as a software-as-a-service company that develops and sells web-based business systems with a focus on sales, marketing, and analysis in Sweden and internationally. It provides Upsales platform, which provides database and analyzes sales history and gives suggestions on actions to win more deals; AI-based lead recommendations; helps discover untapped companies in customers' corporate networks; sets data-driven targets with AI-based accuracy, as well as provides automated forecasts and alerts for tracking pipeline activity; identifies customers on multiple boards for new sales opportunities; analyzes complex sales targets, including revenue recognition, subscription ARR/MRR, and profit margin; upsell and cross-sell alerts; identifies customers on multiple boards for new sales opportunities; and syncs financial data and comes to data-driven conclusions. The company also offers sales and marketing suite, an end-to-end revenue engine with everything …
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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.