audius SE (3ITN) Fair Value & Analysis
Technology · DE · Market cap €67.9M
Fair value as of: Jun 24, 2026
Analysis
audius SE (3ITN) currently trades at €12.70, while our model-based Fair Value estimate is €14.60 — implying the stock looks roughly 15.0% undervalued today. We read business quality at 88/100 (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: medium) — always confirm before acting.
About the company
audius SE, through its subsidiaries, engages in the IT services and software business in Germany and internationally. The company offers consulting services, such as security and audit services; data protection; whistleblower protection; IT consulting services, including network, IoT, and cloud strategies; basic infrastructure, security concepts, solutions and implementations, and basic services and technologies; and software consulting services for field service, sales, interfaces, add-ons, mobile applications, and bespoke programming. It also provides Microsoft Dynamics 365 comprising dynamics field service, sales, customer service, customer insights, project operations, and add-ons; Microsoft 365; a license for Microsoft; customized software; and a mobility platform dashface for data and processes. In addition, it offers audius.cloud, a hybrid multi-cloud solution with certified server locations; audius.cloud Backup, which provides storage, reliable cloud-native backup, and conti…
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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.