Citi’s 2026 Unplugged MedTech and Life Sciences Access Day
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IQVIA (IQV) Citi’s 2026 Unplugged MedTech and Life Sciences Access Day summary

Event summary combining transcript, slides, and related documents.

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Citi’s 2026 Unplugged MedTech and Life Sciences Access Day summary

26 Feb, 2026

Business performance and segment updates

  • Achieved strong Q4 growth: nearly 10% actual currency, 7% constant currency, with robust organic growth in TAS despite tough prior-year comparisons.

  • Real-world business in TAS grew double digits; consulting, analytics, info, and tech grew low- to mid-single digits.

  • Legacy TAS breakdown: ~1/3 real-world, 1/4 info, 20% consulting, low 20s tech.

  • Commercial Solutions segment guided for 8% growth, R&DS for 4%; momentum supported by strong pipelines and improved client decision-making.

  • Cedar Gate acquisition enhances U.S. payer and provider segment within real-world patient solutions.

M&A, margins, and capital allocation

  • M&A expected to contribute 150 basis points at enterprise level, with two-thirds toward Commercial Solutions.

  • Margin profiles for Commercial Solutions and R&DS remain stable after segment shifts; no significant changes expected.

  • Leverage target remains 3–4x; capital deployment between share repurchase and acquisitions depends on pipeline strength and stock valuation.

  • No major changes in financial discipline or capital strategy anticipated with CFO transition; focus remains on continuity and execution.

AI strategy and impact

  • AI seen as a significant opportunity, not a threat, due to proprietary, complex, and dynamic data assets and deep domain expertise.

  • Over 150 AI agents developed for 30+ use cases; clients increasingly seek AI-driven solutions for efficiency and launch planning.

  • Data moat reinforced by unique global data feeds, strict privacy/compliance, and ability to link data longitudinally.

  • Small pockets of consulting business (e.g., primary market research) may be eroded by AI, but overall opportunities outweigh risks.

  • AI expected to accelerate drug discovery, increasing viable programs and benefiting both clinical and commercial segments.

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