Oppenheimer 27th Virtual Annual Technology, Internet & Communications Conference
Logotype for Open Text Corporation

Open Text (OTEX) Oppenheimer 27th Virtual Annual Technology, Internet & Communications Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for Open Text Corporation

Oppenheimer 27th Virtual Annual Technology, Internet & Communications Conference summary

2 Feb, 2026

Strategic vision and business model

  • Focused on information management, managing large content repositories for compliance, security, and analytics needs.

  • OpenText 3.0 emphasizes cloud, security, and AI as primary growth drivers.

  • Cloud transition accelerated by Project Titanium and Titanium X, targeting full cloudification and AI/security integration by June next year.

  • Micro Focus acquisition stabilized, integrated, and expanded product reach to more enterprise buying centers.

  • Unified sales organization and business optimization initiatives to drive efficiency and growth.

Financial performance and targets

  • Cloud bookings grew to 33% in FY24, with organic cloud revenue growth expected to reach 5% in FY25 and 7%-9% by FY27.

  • EBITDA margin targeted to improve from low 30s to 36%-38% by FY27, driven by cloud margin improvement, business optimization, and SaaS mix.

  • Free cash flow expected at $575M-$625M in FY25 (excluding AMC tax, over $800M), rising to $1.2B-$1.3B by FY27.

  • 80% of revenue is recurring, providing strong visibility into future performance.

  • Capital allocation plan dedicates 90% of FY25 free cash flow to buybacks and dividends, with future M&A focused on small/medium cloud deals.

Cloud and AI strategy

  • Cloud growth driven by new workloads and deployments, not by migrating legacy data.

  • Titanium X to complete cloudification and embed AI/security across all products by June next year.

  • AI strategy includes preparing customer data for AI, selling AI-enabled Aviator products, and using AI internally for productivity.

  • Early AI revenue is modest, but over 100 use cases are documented and pilots are underway.

  • Internal AI initiatives (Project Athena) aim to improve code development and IT service management.

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