Tecnotree Oyj (TEM1V) Fair Value & Analysis
Technology · FI · Market cap €130M
Fair value as of: Jun 24, 2026
Analysis
Tecnotree Oyj (TEM1V) currently trades at €5.67, while our model-based Fair Value estimate is €5.01 — implying the stock looks roughly 11.6% 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: high).
About the company
Tecnotree Oyj provides telecommunication IT solutions for charging, billing, customer care, and messaging and content services in Europe, the Americas, the Middle East, Africa, and the Asia Pacific. The company offers digital products, including digital customer lifecycle manager, digital enterprise manager, digital task management, digital mylife dashboard, digital voice of the customer, digital loyalty manager, digital order management, digital resource management, stock distribution management, digital catalogue management, digital online charging system, digital wholesale billing system, digital accelerator platform, digital business and operations dashboard, artificial intelligence and machine learning engine, digital partner management system, and digital subscription management system. It also provides business solutions, such as DiWa, a financial services platform which allows the launch of payment features like P2P transfer, automatic top-ups, and bill payments. In addition…
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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.