Applied Digital (APLD) Stock; Climbs 12% as $7.5B AI Data Center Lease Sparks Growth Surge

TLDRs;

• Applied Digital shares rose 12% after signing a massive $7.5 billion hyperscaler lease agreement.
• The deal expands contracted revenue to over $23 billion across multiple AI data center campuses.
• AI infrastructure demand is driving hyperscalers to secure long-term power and compute capacity early.
• Despite strong revenue growth, Applied Digital continues to face widening losses and execution risks.

Applied Digital shares surged roughly 12% in afternoon trading, reflecting strong investor enthusiasm after the company revealed a massive long-term infrastructure deal tied to artificial intelligence demand. The stock move followed news of a $7.5 billion, 15-year lease agreement with a major U.S. hyperscaler, reinforcing the company’s position in the rapidly expanding AI data center market.

Although the tenant was not publicly named, the scale and structure of the agreement point to a major cloud computing operator seeking large-scale, high-density computing capacity. The deal covers 300 megawatts at Applied Digital’s Delta Forge 1 campus, marking one of the company’s most significant commercial milestones to date.

$23B contracted revenue milestone

The company highlighted that total contracted lease revenue has now surpassed $23 billion following the latest agreement. This figure reflects accelerating demand from hyperscale clients and signals stronger long-term visibility for Applied Digital’s infrastructure pipeline.

Applied Digital Corporation, APLD

According to company disclosures, more than half of its contracted revenue is now backed by investment-grade hyperscale tenants. The addition of this new agreement also expands the company’s customer base to three hyperscaler clients across its AI-focused data center campuses.

This growing backlog positions Applied Digital more competitively in an industry where long-term capacity agreements are increasingly critical due to tight power availability and limited grid expansion.

AI infrastructure race intensifies

The broader market backdrop continues to favor large-scale infrastructure providers as tech giants race to secure compute capacity for AI workloads. Companies including Amazon, Google, Meta, Microsoft, and Oracle are all aggressively expanding their data center footprints.

However, the expansion is not without constraints. Grid bottlenecks, turbine shortages, and lengthy interconnection delays are slowing new capacity additions across the U.S. These structural challenges are driving hyperscalers toward pre-leasing arrangements, benefiting operators like Applied Digital that can deliver scalable energy and land access.

The company’s Delta Forge 1 campus in Alexandria, Louisiana spans over 500 acres and is designed to support 430 megawatts of capacity, with initial operations expected by mid-2027.

Financing push and expansion strategy

Alongside the lease announcement, Applied Digital disclosed plans to raise up to $600 million in additional funding. This includes a $300 million senior secured bridge loan for development at its Polaris Forge 1 project and a revolving credit facility of up to $300 million for working capital and construction-related expenses.

The financing efforts underscore the capital-intensive nature of AI data center development, where upfront infrastructure spending is significant before revenue is fully realized.

Chief Executive Wes Cummins emphasized the company’s strategic direction, focusing on “delivering operational AI capacity at scale” as hyperscaler demand continues to accelerate.

Strong revenue growth, ongoing losses

Despite strong top-line expansion, Applied Digital’s financial results remain mixed. The company recently reported a 139% year-over-year revenue increase to $126.6 million, highlighting rapid growth momentum driven by its data center business.

However, profitability pressures persist. Net losses widened as operating expenses nearly tripled, including a $59.7 million impairment charge linked to its cloud segment. While the backlog of contracts is substantial, it has yet to translate into stable earnings performance.

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