UMT United Mobility Technology AG (UMD) Fair Value & Analysis
Technology · DE · Market cap €603K
Fair value as of: Jun 25, 2026
Analysis
UMT United Mobility Technology AG (UMD) currently trades at €1.09, while our model-based Fair Value estimate is €1.12 — implying the stock looks roughly 2.4% undervalued today. We read business quality at 92/100 (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
UMT United Mobility Technology AG engages in the development and implementation of customized solutions for the digitalization of business processes in Germany. The company offers UMS Vision AI, an AI-based automated document processing and analysis solution; and T4 (Trackability, Traceability, Transparency, and Trust) blockchain solution that enables seamless compliance with the new EU regulations, including the product passport requirements. It also licenses mobile payment platforms and acts as a central interface between various parties, such as large retail chains, banks, bonus program providers, and end consumers. In addition, the company offers mobile payment, mobile wallet, loyalty/bonus programs, and data analytics solutions; and consulting and implementation services. It serves the logistics, insurance, and commerce industries. The company was formerly known as Leipziger Solarpark AG and changed its name to UMT United Mobility Technology AG in 2011. UMT United Mobility Tech…
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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.