Subgen AI AB (SUBGEN) Fair Value & Analysis
Technology · SE · Market cap 97.8M SEK
Fair value as of: Jun 26, 2026
Analysis
Subgen AI AB (SUBGEN) currently trades at kr 0.0490, while our model-based Fair Value estimate is kr 0.0936 — implying the stock looks roughly 91.0% 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: low) — always confirm before acting.
About the company
Subgen AI AB (publ) develops artificial intelligence-based models and applications to control data for government and businesses. The company engages in the provision of information society services aimed at delivering financial and related knowledge tools to facilitate third-party access to financial literacy and instruments that enable them to interpret such information through e-learning; the acquisition, ownership, management and administration of securities; and the acquisition, ownership, marketing, leasing and operation of rural or urban properties. It also provides financial intermediation services; computer programming activities, structure and content design, writes computer code for systems, computer software, databases and web pages; and customizes computer programs, including configuration and modification of legacy programs. In addition, the company offers marketing and after-sales services of diagnostic imaging machinery and human resources services, as well as develo…
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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.