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Jefferies reiterates Oracle stock Buy rating on strong cloud growth By Investing.com

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Jefferies reiterates Oracle stock Buy rating on strong cloud growth By Investing.com

Oracle reported fiscal Q3 revenue of $17.19B (+22% YoY, $17.19B vs $16.918B Street) and non-GAAP EPS of $1.79 (vs $1.70 est), with operating margin 42.9% and operating cash flow $7.15B (vs $6.352B est). Backlog surged to $553B (up 325% YoY, +6% sequential ≈ $29B); IaaS revenue grew 81% YoY (constant currency) while SaaS was +11% (slightly below est). Capex jumped to $18.635B in the quarter (up 55% QoQ) and the company reiterated FY26 revenue guidance of $67B and $50B capex, while raising FY27 revenue outlook to $90B from $89B. Despite strong results and analyst buy ratings/target adjustments, shares are down ~54% over six months, trading at $149.44 (market cap $431.5B).

Analysis

Oracle’s capital allocation pivot into a heavy, multi-year infrastructure build has outsized second-order effects that markets are only partially pricing. The most immediate beneficiaries are hardware and power-equipment suppliers and contractors that get multi-year bookings cadence; expect demand for datacenter racks, custom servers and networking silicon to stay elevated for 12–36 months, compressing lead times and putting upward pressure on component suppliers’ margins. On the liability side, the financing mix and potential equity overhang create a predictable near-term dampener on buybacks and multiple expansion until revenue conversion and FCF visibility improve; this means the stock will likely remain sensitive to cadence of contract conversions and quarterly cash flow prints rather than headline cloud growth rates. Macro sensitivity is asymmetric — a mild enterprise IT pullback or price competition in IaaS would materially delay payback and force margin re-forecasts, while continued strong contract conversion would unlock step-function deleveraging over 12–24 months. For traders, the window for asymmetric payoffs is around measurable operational readouts: sequential revenue conversion from backlog, unit-level cloud margins, and incremental utilization of new regions. Those three data points are high-leverage catalysts; absent them, sentiment will drive volatility. Positioning should therefore be skewed to convex instruments that let you capture upside if execution proves sticky while limiting headline-driven downside from financing noise.