Glintt Global, S.A (GLINT) Fair Value & Analysis
Technology · PT · Market cap €107M
Fair value as of: Jun 24, 2026
Analysis
Glintt Global, S.A (GLINT) currently trades at €1.26, while our model-based Fair Value estimate is €1.91 — implying the stock looks roughly 51.6% undervalued today. We read business quality at 94/100 (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
Glintt Global, S.A. provides IT consulting services for banking, insurance, public administration, and utilities sectors in Portugal, Spain, and Angola. It operates through two segments: Health and Other Markets. The company engages in the sale of equipment, furniture, consumables, and robotics solutions; development of architectural projects; and design and conception of lay-out and image for pharmacies, training, equipment maintenance, and consultancy projects. It licenses proprietary software solutions for healthcare providers, such as clinics, hospitals, pharmacies, and other bodies of the ministry of health; and develops, implements, and maintains software services for the health sector. In addition, the company implements ERPs, integrates internet systems, and develops tailor-made applications services. Further, the company develops, implements, and integrates partner platforms with emphasis on the BPM, ERP, BI and mobility solutions; and integrates IT infrastructures, as well…
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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.