J.P. Morgan 54th Annual Global Technology, Media and Communications Conference
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Workiva (WK) J.P. Morgan 54th Annual Global Technology, Media and Communications Conference summary

Event summary combining transcript, slides, and related documents.

Logotype for Workiva Inc

J.P. Morgan 54th Annual Global Technology, Media and Communications Conference summary

20 May, 2026

Key business drivers and platform strategy

  • Over 6,600 customers, including 85%+ of the Fortune 1000, rely on the platform for data accuracy, integrity, and traceability in financial and regulatory reporting.

  • Integrated platform approach reduces reporting complexity, consolidates point solutions, and provides a single source of truth, especially valued in the era of AI.

  • Platform enables secure, audit-ready environments, supporting both financial and non-financial data for holistic business views.

  • High gross revenue retention (97%+) and net revenue retention (110%+) are driven by portfolio expansion, account growth, and improved execution.

  • Achieved $1 billion revenue milestone, with continued focus on land-and-expand strategy and larger deals.

Growth, profitability, and operational discipline

  • 21% subscription revenue growth last quarter, with momentum in both U.S. and international markets, especially Europe.

  • Enhanced partner relationships and disciplined geographic expansion contribute to multi-solution deals and new customer wins.

  • Non-GAAP operating margin reached 18% in Q1, up 1,600 basis points year-over-year, attributed to operational rigor and productivity improvements.

  • Productivity gains have enabled simultaneous investment in innovation and margin expansion, without trade-offs between growth and profitability.

AI strategy and platform transformation

  • AI is embedded across all workflows, with advanced capabilities offered in premium product tiers; over a third of customers have enabled AI features.

  • Monetization of AI occurs through advanced pricing tiers and usage-based metrics, with ongoing learning from customer adoption patterns.

  • Platform is undergoing transformation from document-centric to data-centric architecture to support agentic AI products and orchestration.

  • Core strengths of data accuracy, traceability, and defensibility are maintained while evolving toward AI-native offerings.

  • Internal productivity is boosted by AI adoption across all functions, with careful management of AI compute costs through infrastructure contracts and tiered pricing.

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