Seresco S.A (SCO) Fair Value & Analysis
Technology · ES · Market cap €35.7M
Fair value as of: Jun 24, 2026
Analysis
Seresco S.A (SCO) currently trades at €6.10, while our model-based Fair Value estimate is €8.76 — implying the stock looks roughly 43.6% undervalued today. We read business quality at 95/100 (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
Seresco S.A. provides software solutions and services in information and communication technology in Spain and internationally. The company provides people management solutions, including payroll outsourcing and software; business management 4.0 solutions, such as SAGE X3 and XRT Advanced business management ERP software, NEODOC document management software, NUBIA cloud platform for the execution and monitoring of processes, TAKSON for real estate big data system, Industry 4.0, IBS, and Cultivate Decisions agriculture software; and IT infrastructure management solutions, which include consulting in networks and systems, and connectivity. It offers risk management solutions for computers, such as perimeter security, credentials, endpoint antivirus, email protection, cybersecurity, S.O.C., cyber security incident response team, and governance, risk, and compliance strategy; territory management solutions, comprising mapping, cartography, cadastre, and mapstorm; software development, m…
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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.