Endava (DAVA) J.P. Morgan Ultimate Services Investor Conference (USIC) 2024 summary
Event summary combining transcript, slides, and related documents.
J.P. Morgan Ultimate Services Investor Conference (USIC) 2024 summary
13 Jan, 2026Financial performance and outlook
Revenue reached the top end of guidance, with profitability and EPS exceeding expectations due to higher utilization.
Annual guidance was maintained, with sequential growth of 3% expected from Q2 to Q3 and 1.5% for Q2 after FX adjustments.
The Galaxy acquisition, completed in April, is being integrated and will create some cost headwinds but is expected to support growth.
Forecasting remains cautious due to elongated sales cycles, but the pipeline is strong and supports the growth outlook.
No significant changes in client budget levels are anticipated, with stability expected into the next fiscal year.
Client behavior and market trends
Clients are shifting more budget into discretionary spending, especially for AI initiatives and core modernization.
Early indicators from regions like Australia and others show increased spending as new budget cycles begin.
The need for better business cases and higher returns, along with AI-driven uncertainty, has slowed discretionary spend, but this is starting to ease.
Larger, longer-ramping transformation programs are expected as organizations address core modernization and AI integration.
The shift from "keep the lights on" to transformation is gaining traction, underpinned by new tools and accelerators.
Core modernization and AI opportunity
Core modernization is essential for effective AI deployment, requiring access to organizational data and processes.
The opportunity is larger than previous digital transformation markets, as legacy systems consume up to 80% of IT budgets.
Transformation will occur piecemeal, enabled by tools that help break off and modernize parts of legacy systems.
AI and proprietary accelerators (MAPS, DASH, Chronos, Compass) are used to analyze, map, and modernize code and systems.
Agentic AI solutions improve quality by having multiple AI agents interact, reducing hallucinations and increasing reliability.
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