
As the Q1 earnings season wraps, let’s dig into this quarter’s best and worst performers in the data infrastructure industry, including Oracle (NYSE: ORCL) and its peers.
Generating insights from system level data is an increasing priority for most businesses, but to do so requires connecting and analyzing piles of data stored and siloed in separate databases. This is the demand driver for cloud based data infrastructure software providers, who can more readily integrate, distribute and process information vs. legacy on-premise software providers.
The 4 data infrastructure stocks we track reported a satisfactory Q1. As a group, revenues beat analysts’ consensus estimates by 2% while next quarter’s revenue guidance was in line.
Luckily, data infrastructure stocks have performed well with share prices up 21.1% on average since the latest earnings results.
Best Q1: Oracle (NYSE: ORCL)
Starting as a database company in 1977 and now powering mission-critical systems across the globe, Oracle (NYSE: ORCL) provides enterprise software and hardware products and services that help businesses manage their information technology needs.
Oracle reported revenues of $17.19 billion, up 21.7% year on year. This print exceeded analysts’ expectations by 1.5%. Overall, it was a very strong quarter for the company with an impressive beat of analysts’ EBITDA and billings estimates.

Oracle scored the fastest revenue growth but had the weakest full-year guidance update of the whole group. Unsurprisingly, the stock is up 56.8% since reporting and currently trades at $234.24.
Is now the time to buy Oracle? Access our full analysis of the earnings results here, it’s free.
Elastic (NYSE: ESTC)
Built on the powerful open-source Elasticsearch technology that powers search functionality for thousands of websites worldwide, Elastic (NYSE: ESTC) provides a search and AI platform that helps organizations find insights from their data, monitor applications, and protect against security threats.
Elastic reported revenues of $450.7 million, up 16% year on year, outperforming analysts’ expectations by 0.9%. The business performed better than its peers, but it was unfortunately a mixed quarter with an impressive beat of analysts’ billings estimates but EPS guidance for next quarter missing analysts’ expectations.

The market seems happy with the results as the stock is up 12.9% since reporting. It currently trades at $65.02.
Is now the time to buy Elastic? Access our full analysis of the earnings results here, it’s free.
Weakest Q1: Teradata (NYSE: TDC)
Pioneering data warehousing technology in the 1980s before "big data" was a common term, Teradata (NYSE: TDC) provides cloud-based data analytics and AI platforms that help large enterprises integrate, analyze, and leverage their data across multiple environments.
Teradata reported revenues of $444 million, up 6.2% year on year, exceeding analysts’ expectations by 3.4%. Still, it was a mixed quarter as it posted revenue guidance for next quarter missing analysts’ expectations.
Interestingly, the stock is up 16.3% since the results and currently trades at $34.97.
Read our full analysis of Teradata’s results here.
C3.ai (NYSE: AI)
Named after the three Cs of its original focus—carbon, cloud computing, and customer relationship management—C3.ai (NYSE: AI) provides enterprise AI software that helps organizations develop, deploy, and operate large-scale artificial intelligence applications across various industries.
C3.ai reported revenues of $51.6 million, down 52.5% year on year. This print beat analysts’ expectations by 2.2%. Zooming out, it was a mixed quarter as it also logged an impressive beat of analysts’ EBITDA estimates but a significant miss of analysts’ billings estimates.
C3.ai pulled off the highest full-year guidance raise but had the slowest revenue growth among its peers. The stock is down 1.5% since reporting and currently trades at $10.54.
Read our full, actionable report on C3.ai here, it’s free.
Market Update
Late in 2025 into early 2026, there was hand-wringing around artificial intelligence. For software companies, the fear was that AI would erode pricing power and compress margins as new tools made it easier to replicate what once required expensive enterprise platforms. Crypto investors had their own version of the same anxiety: if AI agents could trade, allocate capital, and manage wallets autonomously, what exactly was the long-term value of today’s crypto infrastructure?
These concerns triggered a noticeable rotation away from these sectors and into safer havens. But markets rarely dwell on one narrative for long. Spring 2026 came, and the focus shifted abruptly from technological disruption to geopolitical risk. The US’ conflict with Iran became the dominant driver of market psychology, and when geopolitics takes center stage, the script changes quickly. Investors stop debating growth rates and start worrying about oil supply, inflation, and global stability.
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