47th Annual Raymond James Institutional Investor Conference
Logotype for SS&C Technologies Holdings Inc

SS&C Technologies (SSNC) 47th Annual Raymond James Institutional Investor Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for SS&C Technologies Holdings Inc

47th Annual Raymond James Institutional Investor Conference summary

3 Mar, 2026

Business overview and strategy

  • Operates in 40 countries with 23,000 clients and 200 products and services, emphasizing complex, hard-to-replicate solutions.

  • Significant investments in RPA, AI, and machine learning, deploying 4,000 digital workers in two years, driving efficiency and cost savings.

  • Growth achieved by adding $1 billion in revenue over three years without increasing headcount, leveraging AI for productivity.

  • Six business units generate $1.5–$1.6 billion each, with additional focus on automation, analytics, and specialized platforms like Intralinks and DomaniRx.

  • Acquisitions are driven by client needs, with major deals including DST Systems, GlobeOp, and Calastone, expanding global reach and capabilities.

Financial performance and outlook

  • Adjusted Q4 2025 revenue was $1.654 billion, up 8%, with operating cash flow of $1.744 billion and high-margin business model (39–40%).

  • Earnings per share expected to rise from $6.14 in 2025 to $6.86 in 2026, with further growth anticipated in 2027.

  • Guidance for 2026 includes 4–8% organic revenue growth, with additional growth from acquisitions.

  • Over $1 billion in share repurchases in 2025, with similar or higher levels planned for 2026.

  • Focus on cash generation and disciplined capital allocation, including debt reduction and ongoing R&D and acquisition investments.

Technology and innovation

  • AI and automation are central to operations, enabling margin maintenance and significant cost reductions, especially in reconciliations.

  • AI-driven solutions have been monetized in healthcare (radiology for NHS UK), banking (check proofing, AML/KYC), and internal operations.

  • Ongoing R&D investment of $500 million in cash and $11–12 billion in acquisitions over recent years.

  • AI is viewed as a tailwind, with secure implementation and strong internal testing before client rollout.

  • Cautious approach to AI monetization, preferring gradual adoption to avoid risks and ensure sustainable value.

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