CoreWeave’s second-quarter results showed a company expanding its AI computing infrastructure at a pace that depends heavily on new financing and the conversion of power contracts into operating data-center capacity. Revenue more than doubled from a year earlier to $2.575 billion, while the company reported roughly $104 billion in backlog and projected third-quarter capital expenditures of $11.5 billion to $13.5 billion.
The figures, released in an unaudited earnings statement filed with the U.S. Securities and Exchange Commission in an 8-K, illustrate the scale of the buildout required to serve demand for high-performance computing. CoreWeave ended June with 1.5 gigawatts of active power capacity and 3.7 gigawatts of contracted power, leaving a large share of its committed electricity supply still to be developed into live facilities.
That gap places power availability, construction schedules, grid connections and equipment deployment near the center of CoreWeave’s operating challenge. Securing a power contract gives a data-center operator an expected future supply of electricity; active capacity represents infrastructure already in service and able to run customer workloads.
Revenue rose as operating profit turned negative
CoreWeave reported second-quarter revenue of $2.575 billion for the three months ended June 30, a 112.5% increase from the same period in the prior year. The company attributed its outlook to ongoing demand for its cloud infrastructure, which is designed for computationally intensive AI workloads.
The revenue increase did not translate into a GAAP operating profit. CoreWeave recorded a $49 million operating loss, compared with operating income of $19 million a year earlier. Its net interest expense reached $640 million, up $373 million year over year, reflecting the cost of funding a capital-intensive expansion.
On an adjusted basis, CoreWeave reported EBITDA of $1.510 billion and an adjusted EBITDA margin of 59%. Adjusted EBITDA is a non-GAAP metric that excludes selected expenses and does not replace the company’s GAAP operating result. The contrast between the adjusted measure and the operating loss shows how depreciation, financing costs and other expenses weigh on a business building large amounts of physical infrastructure ahead of future revenue.
CoreWeave’s backlog stood at about $104 billion at quarter-end. The company said the figure includes remaining performance obligations and other amounts expected to be recognized in future periods, subject to service delivery and availability. It excludes more than $25 billion in net new customer commitments added early in the third quarter.
Backlog gives the company a sizable base of expected demand, but it also raises the execution pressure surrounding facility completion. The company must provide the power, servers, networking equipment and data-center space required to turn contracted customer commitments into recognized revenue.
Capital spending far exceeded operating cash generation
CoreWeave generated $679 million in net cash from operating activities during the quarter, according to its cash-flow statement. Over the same three months, cash spending on property and equipment and capitalized internal-use software totaled $6.422 billion.
The capital expenditure total was about 9.5 times the company’s operating cash inflow. Such a difference is common among companies pursuing rapid infrastructure expansion, but it makes access to debt and equity funding a practical constraint on growth rather than a secondary financial consideration.
Financing activities supplied $10.071 billion in net cash during the quarter, exceeding the $7.166 billion of net cash used in investing activities. The financing section included debt issuance and repayments, private placements of common stock, and purchases of capped-call hedge options connected to convertible notes.
Capped-call transactions are typically used alongside convertible debt to reduce potential dilution above certain share-price levels. In CoreWeave’s case, their inclusion in the quarter’s financing cash flows underlines how the company is using multiple forms of capital to fund infrastructure deployment.
The company’s third-quarter forecast for $11.5 billion to $13.5 billion in capital expenditures points to an even faster pace of spending than the second-quarter cash-flow figures. The forecast is guidance, rather than capital already deployed, and its final outcome will depend on construction, equipment delivery, financing and utility-related timelines.
Power contracts set the pace for expansion
CoreWeave’s 3.7 gigawatts of contracted power was roughly 2.5 times its 1.5 gigawatts of active capacity at the end of June. The company is targeting more than 1.85 gigawatts of active power by year-end, according to its outlook materials.
The distinction has become increasingly relevant as AI developers seek large clusters of graphics processing units and other advanced hardware. Chips can be ordered and installed, but data centers also need access to high-voltage electricity, cooling systems, transmission infrastructure and local approvals before they can operate at scale.
CoreWeave’s growth plan therefore hinges on its ability to bring contracted capacity online quickly enough to meet customer demand without allowing financing costs to absorb too much of the revenue generated by those facilities. Its expanding interest expense shows the trade-off clearly: rapid deployment can support future service revenue, while the debt used to accelerate construction creates a recurring burden on earnings.
The company expects full-year revenue of as much as $13.2 billion, based on the outlook referenced in its materials. Reaching that range would require CoreWeave to continue activating capacity while maintaining customer service availability across its existing fleet.
AI demand reshapes the economics of computing sites
The pressure to secure power is also affecting companies whose facilities were originally built for cryptocurrency mining. Operators with access to electricity, land and grid infrastructure can potentially redirect parts of their sites toward AI and high-performance computing, where long-term contracted workloads may offer an alternative to revenue tied directly to digital-asset prices.
CoreWeave’s disclosed plans show why these assets are being reassessed. A data-center campus with available power can support far more than one type of computing workload, while a facility lacking transmission capacity or utility agreements may struggle to expand regardless of server demand.
For cryptocurrency-focused infrastructure companies, the shift does not eliminate the importance of mining economics. It does place greater value on the underlying physical assets: power contracts, substations, interconnection rights, cooling systems and the ability to deploy hardware at scale. CoreWeave’s quarter demonstrates that in the AI infrastructure race, the path from a signed power commitment to active capacity can be as consequential as the purchase of the computing equipment itself.
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