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CoreWeave Inc-A(CRWV) - 2025 Q2 - Earnings Call Transcript
CoreWeave Inc-ACoreWeave Inc-A(US:CRWV)2025-08-12 22:00

Financial Data and Key Metrics Changes - Revenue for Q2 2025 grew 207% year over year to $1,200,000,000, marking the first quarter with both $1,000,000,000 in revenue and $200,000,000 in adjusted operating income [5][21] - Adjusted operating income for Q2 was $200,000,000, with an adjusted operating income margin of 16% [22] - Net loss for the quarter was $291,000,000, an improvement from a net loss of $323,000,000 in Q2 2024 [23] - Adjusted EBITDA for Q2 was $753,000,000, scaling more than 3x year over year, with an adjusted EBITDA margin of 62% [24] - Capital expenditures (CapEx) in Q2 totaled $2,900,000,000, up over $1,000,000,000 quarter over quarter [25] Business Line Data and Key Metrics Changes - The company ended Q2 with $30,100,000,000 in contracted backlog, up $4,000,000,000 from Q1 and doubling year to date [6][21] - Significant growth was noted in the VFX cloud service product, with a fourfold increase in usage [7] - Expansion contracts were signed with both hyperscale customers, indicating strong demand across various sectors [20] Market Data and Key Metrics Changes - The company is experiencing unprecedented demand for AI cloud services, with a structurally undersupplied market [5][20] - Increased adoption in sectors such as healthcare, finance, and media is driving demand for specialized cloud infrastructure [9][10] - The company is expanding its footprint to meet intensifying demand signals from customers [6] Company Strategy and Development Direction - CoreWeave is focused on vertical integration to enhance operational efficiencies and reduce costs, exemplified by the proposed acquisition of Core Scientific [16][18] - The company aims to scale its infrastructure rapidly to meet customer demand, with plans to deliver over 900 megawatts of active power by year-end [6][31] - Investments in data center infrastructure are being prioritized to support growth and meet the evolving needs of customers [15][19] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the continued strong demand for AI services, despite a structurally supply-constrained environment [20][29] - The company anticipates Q3 revenue in the range of $1,260,000,000 to $1,300,000,000, with adjusted operating income between $160,000,000 to $190,000,000 [29][30] - Full-year revenue guidance has been raised to a range of $5,150,000,000 to $5,350,000, driven by ongoing strong customer demand [31] Other Important Information - The company has successfully raised $6,400,000,000 in the capital markets, reducing its cost of capital [20][27] - A new flexible capacity product is being introduced to help customers manage demand more effectively [12] Q&A Session Summary Question: Renewal of hyperscaler contracts and achieving better return on assets - Management focuses on expansion rather than renewals, indicating confidence in continued business with hyperscaler clients [40][41] - Cost savings and operational efficiencies are being pursued through acquisitions and disciplined scaling [42][43] Question: Demand and supply dynamics - The company is experiencing significant demand for both training and inference workloads, with supply constraints primarily at the power level [47][51] - Management maintains that the market is structurally supply constrained, impacting the ability to meet demand [68] Question: Government interest in AI data centers - Various governments are exploring partnerships for AI infrastructure, with differing levels of openness to US-based providers [56][57] Question: Backlog figures and future expectations - The $30,100,000,000 backlog reflects significant demand, with large contracts expected to move the needle in the future [84][85] Question: Repurposing older GPU clusters - Older GPU clusters are being successfully recontracted for additional terms, primarily for inference workloads [88] Question: CapEx timing and cost implications - CapEx is expected to ramp up in Q4, with costs incurred ahead of revenue generation due to infrastructure deployment [96][98]