Brunel International N.V (BRNL) Fair Value & Analysis
Industrials · NL · Market cap €360M
Fair value as of: Jun 24, 2026
Analysis
Brunel International N.V (BRNL) currently trades at €6.82, while our model-based Fair Value estimate is €3.57 — implying the stock looks roughly 47.7% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Brunel International N.V. provides secondment, project management, recruitment, and consultancy services in the Netherlands, Germany, Austria, Switzerland, the Czech Republic, Australasia, the Middle East, India, rest of Asia, the Americas, and internationally. The company offers project and consulting solutions, such as project performance management, project risk assurance, third party vendor inspection, commissioning and startup, operational readiness and assurance, and project management offices. It also provides workforce solutions, including contract and permanent hire, recruitment process outsourcing, executive search, staff secondment, training courses, employee and contractor care, and market intelligence and benchmarking services; and global mobility solutions comprising mobility and relocation, employer of record, business/country startup support, immigration, destination assistance, medical and emergency repatriation, risk and security management, and mobilization/demobi…
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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.