AI & TechArtificial IntelligenceBigTech CompaniesBusinessNewswire

Oracle spent $55.7B on data centres in a year, beat guidance by $5.7B

▼ Summary

– Oracle’s fiscal Q4 revenue was $19.2 billion, up 21% year over year, with adjusted earnings of $2.11 per share, exceeding analyst expectations.
– The company’s capital expenditure of approximately $55.7 billion far surpassed its own projections.
– The strong financial results were overshadowed by the higher-than-expected capital spending.

Oracle delivered a strong finish to its fiscal year, posting fourth-quarter revenue of $19.2 billion , a 21% jump compared to the same period last year. Adjusted earnings came in at $2.11 per share, comfortably ahead of analyst expectations, which had pegged revenue at $19.1 billion and earnings at $1.97 per share. Yet these headline numbers were quickly overshadowed by the company’s capital expenditure, which far exceeded its own forecasts.

Over the course of the fiscal year, Oracle poured approximately $55.7 billion into capital spending, a figure that beat its previous guidance by $5.7 billion. That massive outlay reflects the company’s aggressive push into AI infrastructure and data centre expansion, as it races to meet surging demand for cloud computing and artificial intelligence workloads. The spending spree underscores Oracle’s strategic bet on becoming a dominant player in the enterprise AI and cloud market, with major partnerships , including its high-profile collaboration with OpenAI , driving the need for additional capacity.

The fiscal year results suggest Oracle is willing to spend heavily now to capture future revenue, even if it means temporarily surprising Wall Street with outsize capex figures. For investors, the key question will be whether these billions in data centre investments can translate into sustained growth and market share gains in the hypercompetitive cloud sector.

(Source: The Next Web)

Topics

oracle earnings 95% capital expenditure 92% financial results 88% investment spending 85% revenue growth 82% ai data centers 80% analyst estimates 78% infrastructure buildout 77% Cloud Computing 75% market expectations 72%