Oracle was at the center of all things artificial intelligence (AI) in 2025, and therefore at the center of the investing world. Here's why Oracle plays a linchpin role in the artificial intelligence ...
Oracle stock fell to its lowest levels since early June, extending its late autumn slump, as investors continue to question the huge amounts of debt the cloud-computing company is taking on to fund ...
Oracle’s stock has dropped 19% within just one month, unsettling investors who previously witnessed its rise earlier this year. The decline began after a revenue miss in the December quarter, but a ...
Oracle Corporation shares dropped 11% after a minor revenue miss on Thursday, presenting a potential buying opportunity amid strong underlying fundamentals. The Cloud firm's record $523B in RPO, up ...
Did people complain – and by people, we mean Wall Street – as the world’s largest bookseller invested huge amounts of money to transform itself into an alternative to driving to Wal-Mart? Or, better ...
Oracle (ORCL) shares fell 7% in extended trading on Wednesday as the IT giant continued to rack up deals, but its fiscal second-quarter results were mixed compared to Wall Street's forecast. For the ...
Oracle’s cloud RPO hit $455B last quarter, up 359% year over year. The company expects FY26 CapEx of $35B to build GPU clusters for AI infrastructure. Multi-cloud database revenue grew 1,529% as ...
Oracle (ORCL) cloud services now represent 77% of total revenue and grew 55% year-over-year. GPU consumption revenue surged 336%. Oracle’s remaining performance obligation hit $97.3B in Q2 FY2025.
Oracle is aggressively building out AI data centers, most notably for OpenAI under a massive multi-year deal The company's balance sheet is already loaded with debt, and more debt is being piled on to ...
Oracle shares are hovering near the lowest levels since early June, having shed nearly $400 billion in value since their all-time peak in September, as investors continue to question the cloud ...
Today’s AI-first environment is pushing traditional enterprise data architectures to a breaking point. Organizations store critical business information across fragmented systems, with data warehouses ...