innoscripta SE (1INN) Fair Value & Analysis
Technology · DE · Market cap €900M
Analysis
innoscripta SE (1INN) currently trades at €76.10, while our model-based Fair Value estimate is €92.77 — implying the stock looks roughly 21.9% undervalued today. We read business quality at 91/100 (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
innoscripta SE provides software-as-a-service for managing research and development (R&D) tax incentives and project management consulting in Germany and France. It offers solutions for research and development documentation, such as human resources, task management, organization, project management, and time tracking. It serves the additive manufacturing/3D printing; aerospace engineering; automotive; biotechnology; business consulting and technical services; chemical; construction; electrical engineering; energy; environmental technology and circular economy financial services/fintech; food and beverage; IT and software development; metal working; medical technology; mechanical engineering; manufacturing for industry; logistics; optical engineering and photonics; pharmaceutical; retail; research and development; textile industry/technical textiles; and professional, scientific, and technical services industries. The company was incorporated in 2012 and is headquartered in Munich, …
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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.