FMP
Jun 17, 2025 6:35 AM - Parth Sanghvi
Image credit: BoliviaInteligente
Oracle (NYSE: ORCL) shares jumped in after-hours trading following upbeat fiscal Q4 results and a more ambitious revenue target for FY26, as the company positions itself at the forefront of the enterprise AI wave.
Adjusted EPS: $1.70 vs. $1.64 expected
Revenue: $15.9 billion vs. $15.58 billion consensus
Oracle Cloud Infrastructure (OCI) revenue: +62% YoY
Remaining performance obligations: $138 billion, up 41% YoY
The beat on both top and bottom lines reflects accelerating demand for Oracle's cloud offerings—especially as enterprises ramp up AI deployment across functions.
CEO Safra Catz forecasted total revenue of at least $67 billion in FY26, implying 16.7% annual growth, up from the previous estimate of 15%. A significant portion of that growth is expected to stem from Oracle Cloud Infrastructure and AI-focused workloads.
Total cloud growth (applications + infrastructure): Expected to exceed 40%, compared to 24% in FY25
Rising capital expenditure levels, however, point to increased cash burn to meet surging infrastructure demands
While KeyBanc analysts acknowledged investor skepticism—given Oracle's past underwhelming follow-through—they noted that interim upside remains possible even if long-term targets fall short.
Jefferies called the $138B in remaining performance obligations a "clear sign of sustained enterprise AI demand."
Oracle's pivot to infrastructure-heavy services through OCI and its alignment with AI enterprise requirements is reshaping its revenue profile. However, this transition also necessitates aggressive capex, a trend investors must track closely.
For a data-backed view of Oracle's financial evolution:
Full Financial as Reported — for Oracle's comprehensive income statements and balance sheets over time
Company Rating — to assess fundamental strength, market sentiment, and risk outlook
Oracle is no longer just a legacy database giant. As AI reshapes enterprise software, Oracle's aggressive cloud buildout could become a long-term driver—if it can execute at scale.
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