Seven Principles AG (T3T1) Fair Value & Analysis
Technology · DE · Market cap €18.5M
Fair value as of: Jun 24, 2026
Analysis
Seven Principles AG (T3T1) currently trades at €4.90, while our model-based Fair Value estimate is €3.71 — implying the stock looks roughly 24.3% 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: medium).
About the company
Seven Principles AG provides digital business implementation support services in Germany and internationally. It offers 360 Degree Advisory service, a comprehensive consulting solution for the entire application lifecycle; compliance-proof, customized software development; managed services for resilient IT; managed legacy systems that future-proof business legacy systems; security and compliance; and AI services for infrastructures, including AI discovery and design sprints, LLM integration, QA for AI, and modernization and knowledge utilization. The company also provides 7P mobile device management, for data protection, centralized control, legal certainty and compliance, and efficient deployment; 7P Accelerant for customer experience monitoring; and 7P-EMM, a European software for secure management of mobile devices with managed services. Seven Principles AG was incorporated in 1998 and is headquartered in Cologne, Germany.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Seven Principles AG (T3T1) undervalued?
What is the fair value of T3T1?
What is the quality score of T3T1?
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.