Summary of Elastic (NYSE:ESTC) 2026 Conference Call Company Overview - **Company**: Elastic (NYSE:ESTC) - **Event**: Morgan Stanley TMT Conference - **Date**: March 02, 2026 - **Speakers**: CEO Ash Kulkarni, CFO Navam Welihinda Key Points Industry Context - The current market is focused on the impact of AI on software companies, with investors assessing which companies will remain durable in the AI era [4][10] Core Value Proposition - Elastic positions itself as a data platform that provides context to large language models (LLMs), emphasizing the need to bring models to data rather than moving data to models [5][9] - The company highlights its ability to deliver specific data relevance and context for various AI use cases [9] Financial Performance - **Sales-led subscription revenue growth**: Accelerated to 19% from 17% in the previous quarter [10] - **Operating income**: Remains strong, with a record number of million-dollar deals reported [12] - **AI adoption**: Approximately 25% of the 100K customer cohort is now using Elastic for AI applications [14] Market Trends - There is a growing interest in self-managed environments, particularly in regulated industries where data sensitivity is paramount [14][16] - The demand for running technologies in sovereign environments is increasing in Europe [16] Competitive Advantage - Elastic's ability to offer a comprehensive platform that can be deployed both in cloud and self-managed environments is seen as a significant advantage over competitors [17] - The company emphasizes the importance of its data store and context accuracy as its defensible moat against competitors [34] AI Integration and Growth - Elastic is experiencing increased consumption from AI workloads, with a quantified difference of approximately 6% in consumption between AI users and non-users [51][53] - The company anticipates that AI will serve as a tailwind for growth, with midterm targets set to exceed 20% sales-led subscription revenue growth by fiscal 2029 [57][58] Observability and Security - The observability business is growing, particularly in metrics, which has historically been a weaker area for Elastic [75][80] - The company is developing specialized backend stores to improve performance in observability, expected to launch mid-year [80] Capital Allocation Strategy - Elastic maintains a disciplined approach to stock-based compensation while investing in sales and marketing capacity [92][93] - The company has allocated over 50% of its capital for share repurchases as part of its strategy to return value to shareholders [97] Future Outlook - Elastic expects steady growth rather than a sudden inflection, focusing on long-term market share and efficiency improvements [88][89] - The company is committed to evolving its platform to meet the changing demands of AI and data management [46][67] Additional Insights - Context engineering is defined as the processes and capabilities needed to provide LLMs with accurate context, which Elastic aims to excel in [67][68] - The shift from human to AI interfaces is anticipated to change how data platforms operate, with a focus on APIs over traditional UIs [46][68]