Revenue Beats Expectations, Swings to Operating Profit: Why Is Applied Digital Still Facing a Market Selloff?
Applied Digital's fiscal Q3 revenue surged 139% YoY to $126.6 million, significantly beating estimates, and adjusted EPS was $0.09, exceeding expectations. However, GAAP net loss widened to $100.9 million, impacted by a $59.7 million asset impairment charge and expansion costs. Core business profitability was demonstrated by adjusted net income of $33.2 million and EBITDA of $44.1 million. Ample liquidity remains post-financing. Demand for AI data center capacity is accelerating, with hyperscale customers showing unprecedented aggression. A 100-megawatt direct-to-chip liquid-cooled data center is operational.
TradingKey - After the market close on April 8, high-performance data center operator Applied Digital ( APLD.US) released its fiscal 2026 third-quarter financial results.
Revenue surged 139% year-over-year to $126.6 million, significantly beating the Wall Street consensus of approximately $76.56 million; adjusted earnings per share (EPS) was $0.09, also crushing market expectations of a $0.10 loss per share.
However, the GAAP net loss attributable to common shareholders widened to $100.9 million, representing a 179% deterioration from the prior-year period. Consequently, shares fell more than 5% in after-hours trading.
Why is the market unimpressed despite surging revenue and a return to profitability?
The net loss attributable to shareholders widened to $100.9 million, primarily driven by a one-time non-cash asset impairment of approximately $59.7 million. This impairment directly dragged down GAAP net income performance and became a core factor weighing on market sentiment.
Furthermore, the company is in a rapid expansion cycle; stock-based compensation resulting from headcount growth, professional service fees, and SG&A (selling, general, and administrative) expenses have risen significantly, also acting as a temporary drag on net profit.
In terms of operational quality, Applied Digital's performance was not poor.
Adjusted net income reached $33.2 million and adjusted EBITDA hit $44.1 million, indicating that the core business has achieved profitability. As of quarter-end, the company held approximately $2.1 billion in cash and cash equivalents, which, combined with the subsequent completion of a $2.15 billion senior secured notes financing, ensures ample overall liquidity.
Hyperscaler Compute Demand is "Accelerating": How Long Can the AI Data Center Boom Last?
Following the earnings release, Applied Digital Chairman and CEO Wes Cummins reassured the market during the conference call: "We are seeing a significant acceleration in demand for high-performance AI data center capacity, and the level of aggressiveness from hyperscale customers has reached unprecedented levels."
Operational milestones are being achieved. Within the company's Polaris Forge 1 campus in Ellendale, North Dakota, the first 100-megawatt direct-to-chip liquid-cooled data center has been fully commissioned. Cummins described this as "one of the few 100-megawatt-class liquid-cooled data centers in operation globally."
From a broader perspective, the capital expenditures of major global cloud service providers are entering an unprecedented expansion cycle. In its latest report from April 2026, Morgan Stanley estimates that the combined capital expenditures of the four tech giants—Amazon, Google, Microsoft, and Meta—will reach approximately $660 billion in 2026, representing a 60% increase from 2025 and a 165% increase from 2024. This cycle of capital expenditure led by tech giants continues to accelerate.
Overall, Applied Digital's Q3 results essentially reflect "short-term pressure, but validated long-term logic." While a one-time asset impairment weighed on net income for the quarter and widened the GAAP net loss, the adjusted net income has turned positive. Furthermore, leases with hyperscale customers are materializing and liquid-cooled data centers are fully operational, all of which represent tangible results.
This also indicates that the underlying drivers for AI computing power demand have not weakened, and the capital expenditure cycle of hyperscale customers continues to accelerate. The capital expenditure cycle for AI computing is far from over, and Applied Digital's project implementation serves as the best proof of this.
This content was translated using AI and reviewed for clarity. It is for informational purposes only.
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