Applied Digital Reports Revenue Surge as AI Data-Center Buildout Drives Losses Higher
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Applied Digital reported $341.9 million in revenue for the first quarter of fiscal 2027, up 322% year on year and above the $133.8 million LSEG consensus estimate. The operator’s net loss attributable to common shareholders widened to $221 million as costs and expenses rose alongside data-center construction, stock-based compensation and interest expense.
- First-quarter fiscal 2027 revenue was $341.9 million, up 322% year on year and above the $133.8 million LSEG consensus estimate.
- Net loss attributable to common shareholders widened to $221 million from $18.5 million in the comparable prior-year quarter.
- Costs and expenses rose to $404.3 million, with data-center construction, stock-based compensation and interest expense cited among the drivers.
- Applied Digital is targeting large AI data-center campuses and long-term agreements with investment-grade hyperscalers.
- No capacity, location, CAPEX, timeline or signed-contract details for the planned campuses were provided.
Applied Digital reported revenue of $341.9 million for the first quarter of fiscal 2027, ended August 31, 2026. Revenue increased 322% from the comparable prior-year quarter and exceeded the $133.8 million consensus estimate compiled by LSEG.
The company’s net loss attributable to common shareholders widened to $221 million, from $18.5 million a year earlier. Costs and expenses reached $404.3 million. The available source attributes the increase in part to data-center construction, stock-based compensation and interest expense.
For data-center and power-infrastructure investors, the quarter highlights the operating profile of AI-focused capacity expansion. Demand for AI computing can translate quickly into revenue growth for specialised operators, while campus development and financing requirements can materially increase costs before longer-term economics are established.
Applied Digital said it is developing large AI data-center campuses and intends to pursue long-term contracts with investment-grade hyperscalers. This strategy could support more predictable demand coverage for new infrastructure, but the materials provided do not identify campus locations, capacity, capital expenditure, construction timelines, or signed customer contracts.
The company was previously known as Applied Blockchain and had earlier focused on cryptocurrency mining and mining-equipment hosting.
The results illustrate the capital intensity of AI infrastructure expansion: rapid revenue growth can coincide with substantial upfront construction and financing costs. Applied Digital’s stated focus on large AI data-center campuses and long-term agreements with investment-grade hyperscalers could signal continuing supply expansion, but the economics depend on financing access and contract execution.
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