Investor presentation
Logotype for doValue S.p.A.

doValue (DOV) Investor presentation summary

Event summary combining transcript, slides, and related documents.

Logotype for doValue S.p.A.

Investor presentation summary

21 May, 2026

Platform overview and business model

  • Operates a dual-engine platform: institutional credit management and digital receivables management across 14 European markets, managing €133bn in credit assets for 140+ clients and ~10 million digital claims annually.

  • Asset-light model with no balance sheet risk, relying on long-term contracts and recurring revenue streams.

  • Revenue is generated through base fees on assets under management, collection fees, and value-added services.

  • Over 80% of revenue is secured through long-term contracts or long-standing client relationships, ensuring high revenue visibility.

  • Market leader in Italy, Greece, Cyprus, and #2 in Germany, with strong positions in Spain and other key European markets.

Growth, diversification, and M&A

  • Achieved three-year new business growth target in two years, with €24.4bn from new business in 2024-2025.

  • Diversified revenue mix: over 50% non-NPL revenue expected in 2026, driven by digitalization and value-added services.

  • Disciplined M&A strategy expanded geography, capabilities, and client base, including recent acquisitions of Gardant and coeo.

  • Revenue CAGR of 30% and EBITDA of €55-60m (2025) from coeo, with strong client retention and expansion.

  • New business plan to be unveiled in October 2026, targeting further growth and diversification.

Technology, efficiency, and value-added services

  • AI-driven digital platform enables scalable, automated management of high-volume claims, reducing collection costs and increasing productivity.

  • Value-added services (VAS) contribute ~€100m in revenue, up 20% YoY, including data analytics, advisory, brokerage, and legal support.

  • 70% of files resolved entirely digitally, with customer-centric approach and high satisfaction ratings.

  • Proprietary data and AI models provide predictive insights and competitive advantage.

  • Expansion into new segments such as utilities and mortgage brokerage broadens the addressable market.

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