izertis, S.A (IZER) Fair Value & Analysis
Technology · ES · Market cap €298M
Fair value as of: Jun 24, 2026
Analysis
izertis, S.A (IZER) currently trades at €8.80, while our model-based Fair Value estimate is €2.54 — implying the stock looks roughly 71.1% 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
izertis, S.A., together with its subsidiaries, provides technological consultancy services in Spain, Portugal, and Mexico. The company provides digital transformation and tech innovation, customer experience, software engineering, enterprise and IT governance, cloud and infrastructure, enterprise and IT cybersecurity, and business solutions. It also offers E2E solutions for strategies, brand and creativity, user experience, sales growth, and data intelligence; managed cloud services, such as managed consulting, IT support and maintenance, plans for IT managers, analysis and data management, proactive monitoring, and alerts and troubleshooting services; and post-implementation technical support services. In addition, the company engages in the provision of computer consulting and teaching services; sale of licenses; and investment in companies that develop their activity on the Internet. It serves the banking, finance, and fintech; insurance and mutual; retail, logistics, and distrib…
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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.