Applied Digital beats revenue estimates as AI demand fuels data center growth

Applied Digital (APLD.O) surpassed Wall Street's first-quarter revenue estimates, reporting $64.2 million, an 84% increase, driven by surging demand for its data center services supporting generative AI applications, which led to a 3.3% rise in extended trading. The company also posted a smaller-than-expected adjusted loss per share of 3 cents. A key development includes a new 150MW lease agreement with CoreWeave, expanding their total anticipated contracted lease revenue to approximately $11 billion, signaling robust growth in the high-performance computing sector.

Analysis

Applied Digital (APLD) significantly surpassed Q1 revenue estimates, reporting $64.2 million, an 84% year-over-year increase, against an analyst consensus of $50 million. This robust growth is primarily attributed to the escalating demand for high-performance data center services, driven by the rapid scaling of generative AI applications. The company also reported a narrower adjusted loss per share of 3 cents, outperforming the expected 13-cent loss.

A pivotal development is the new 150MW lease agreement with CoreWeave, which elevates Applied Digital's total anticipated contracted lease revenue to approximately $11 billion, building upon the initial $7 billion CoreWeave contracts. This substantial backlog underscores strong future revenue visibility in the high-performance computing (HPC) sector. Roth Capital's projection of another potential HPC colocation agreement by year-end further reinforces a positive growth trajectory.

While cost of revenues increased 144% to $55.6 million, a significant portion ($25 million) was directed towards facility build-out for HPC clients, indicating strategic investment for future capacity. The market reacted positively, with APLD shares rising 3.3% in extended trading, reflecting investor confidence in the company's execution and its positioning within the high-growth AI infrastructure market.

Key Decisions for Investors

• Consider APLD's strong revenue growth and significant contracted backlog as indicators of sustained performance in the AI infrastructure market.
• Monitor the company's capital expenditure and cost of revenues, particularly the allocation towards HPC facility build-outs, to assess future operational leverage.
• Evaluate the potential for additional HPC colocation agreements, as suggested by Roth Capital, which could further enhance long-term revenue visibility and market positioning.