Gigas Hosting, S.A (GIGA) Fair Value & Analysis
Technology · ES · Market cap €40.0M
Fair value as of: Jun 25, 2026
Analysis
Gigas Hosting, S.A (GIGA) currently trades at €3.06, while our model-based Fair Value estimate is €11.48 — implying the stock looks roughly 275.2% 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: medium) — always confirm before acting.
About the company
Gigas Hosting, S.A. engages in the provision and marketing of cloud computing and infrastructure as a service and telecommunications services. The company offers Cloud Datacenter, a solution that allows users to create, modify, re-distribute, and administer its virtual data center through web control panel in real time. It also provides Gigas Virtual Desktop, a plug-and-play solution that enables companies to publish their applications on the web; SAP certified cloud infrastructure; Sage cloud; Cloud Virtual Private Server; SaaS document management solution and colocation services, as well as load balancer services. In addition, the company offers cybersecurity services, such as g-backup, Gigas recovery, firewall, and VPN solutions. Further, it provides communications and connectivity solutions, including Gigas fiber and flexible fibre, dedicated internet access, and private cloud connect; and Gigas mobile, SMS broadcast, CloudVoice, and SIP trunk. Gigas Hosting, S.A. was incorporat…
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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.