Oracle seeks $10 billion from U.S. investment-grade bond sale

Oracle seeks $10 billion from U.S. investment-grade bond sale
Oracle's $10B bond move

Oracle is moving to tap debt markets days after outlining new capital expenditure plans tied to artificial intelligence infrastructure. The proposed U.S. dollar offering spans six tranches and signals the company is lining up longer-term funding across multiple maturities.

Highlights

  • Oracle is seeking to raise $10 billion via a U.S. investment-grade bond sale, split into six tranches with maturities from two to 20 years.
  • The bond issuance follows Oracle’s announcement of increased capital expenditures aimed at expanding data center and artificial intelligence infrastructure.
  • Initial price talk for the 20-year tranche is about 3.6 percentage points above Treasuries, providing a new gauge for Oracle’s long-term borrowing costs.

Bond sale structure and funding context

As first reported by Bloomberg, Oracle is seeking to raise $10 billion through a U.S. dollar bond sale, according to a person familiar with the matter. The company is marketing the debt in six tranches, with maturities ranging from two years to 20 years.

The financing effort comes shortly after Oracle disclosed fresh capital expenditure plans to support its investments in artificial intelligence infrastructure. That timing suggests the company is expanding its funding base as spending needs rise around data center and AI-related capacity.

Pricing signals and market implications

Initial price talk for the longest-dated tranche is about 3.6 percentage points above Treasuries, the person said. The person asked not to be identified because they are not authorized to speak publicly.

A multi-tranche investment-grade offering of this size would rank among the larger corporate debt deals and underscores how major technology companies are turning to bond markets to help finance AI expansion. For credit investors, the spread guidance on the longest tenor offers an early indication of how the market is pricing Oracle's long-term borrowing costs.

Our earlier article on the U.S. AI data center buildout highlighted how surging costs, construction delays, and power constraints are making many planned projects less credible. We noted that expensive funding and weakening investor confidence are adding pressure on developers to secure capital and deliver projects on time to sustain returns.

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