Applied Digital’s $36 Billion Backlog Comes With a Rising Debt Test

Applied Digital’s AI-hosting revenue surged, backed by long-term leases, but project borrowing, interest costs and construction execution now determine whether contracted revenue becomes attractive cash flow.
Applied Digital’s growth is no longer hypothetical, but financing it remains the central risk. Fiscal first-quarter 2027 revenue reached $341.9 million, with high-performance computing hosting contributing $262.6 million. Adjusted EBITDA rose to $64.4 million, while the company still reported a $184 million GAAP net loss.
The backlog is large. Applied Digital said leases across five campuses represent about 1.41 gigawatts of critical IT load and roughly $36 billion of contracted revenue over initial 15-year terms. Including renewal options, the figure could reach about $86 billion. Those numbers show demand, but they are not the same as cash already collected or profit guaranteed.
Construction requires borrowing before rent arrives. The company ended the quarter with roughly $6.4 billion of debt and $3.7 billion of cash and restricted cash, according to the original report. It also issued $1.59 billion of 7% senior secured notes for a building at Polaris Forge 1. JPMorgan’s downgrade of project-finance bonds highlighted the possibility that additional issuance could pressure existing debt.
Long take-or-pay contracts reduce demand uncertainty, yet they do not remove counterparty, construction or refinancing risk. Cost overruns, delayed energization or higher interest rates can narrow project returns even when the tenant remains committed. The company’s results also include fit-out revenue and noncash accounting movements, so investors should separate recurring rent from construction-related sales.
The next financing for Polaris Forge 3 and the Delta Forge sites will be a practical test. Favorable pricing would support management’s claim that it can maintain a strong balance sheet through construction. Higher coupons, heavier collateral or delays would show that the capital market is demanding more compensation for AI infrastructure risk.
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