Digi Power X's Transition to AI Yields Positive Adjusted EBITDA and Strong Balance Sheet
Adjusted EBITDA Returns to Positive Territory Amid AI Pivot
Digi Power X (NASDAQ: DGXX, Cboe Canada: DGX) entered 2026 with a notable milestone: Adjusted EBITDA turned positive at $1.1 million for the first quarter, marking a $2.4 million year-over-year improvement. This comes as the company’s strategic pivot to AI infrastructure ramps into high gear, setting aside its legacy business to focus on high-growth opportunities in AI compute and colocation services. The company’s net loss for the quarter widened to $4.7 million, primarily due to up-front investments in AI infrastructures, including capital expenditures at their Columbiana, Alabama facility and increased corporate hiring to support the new business model.
Balance Sheet Strengthens with $125 Million in Cash and Zero Long-Term Debt
The company underscored its solid financial position—ending the quarter with $73 million in cash, growing to approximately $125 million (as of the press release date), and an additional $15 million in digital assets. Notably, Digi Power X remains free of long-term debt and has reported a dramatic improvement in working capital, which now stands at $67.2 million versus a deficit of $0.8 million a year ago. There’s also been a robust uptick in net fixed assets (now $26.4 million, up 29% year over year) as the company invests in its core AI sites.
| Key Q1 2026 Metrics | Q1 2026 ($M) | Q1 2025 ($M) |
|---|---|---|
| Adjusted EBITDA | 1.10 | -1.30 |
| Net Loss (GAAP) | -4.70 | -1.60 |
| Working Capital | 67.20 | -0.80 |
| Cash & Equivalents (end of Q1) | 73.00 | NA |
| Net Fixed Assets | 26.40 | 20.47 |
| Revenue | 6.80 | 9.30 |
AI Revenue Era Begins: NeoCloudz GPU and $1.1 Billion Colocation Deal
The launch of NeoCloudz GPU-as-a-Service platform marks a pivotal moment, with the company reporting its first AI revenues from the initial fleet of NVIDIA B200 and B300 GPUs. This AI infrastructure, deployed at Columbiana, Alabama, is not just generating headlines but tangible contracts—most notably a recently signed $1.1 billion, 10-year colocation agreement with a leading AI company, providing a base of long-term contracted revenue. Over $45 million in year-to-date capital expenditures have been invested in cutting-edge data center equipment and capacity, positioning Digi Power X squarely in the crosshairs of the AI cloud boom.
2027 Outlook: Projected Revenue Surge to $250–$300 Million
Looking ahead, Digi Power X projects significant growth, targeting $250–$300 million in total revenue for 2027. The company expects that up to $200 million could be generated from colocation—including $80–100 million directly related to the Colocation Agreement—while the NeoCloudz GPU-as-a-Service arm is forecasted to reach as much as $100 million in annualized run-rate by the end of 2027. Energy-related revenue is expected to remain stable, contributing approximately $12 million.
| 2027 Revenue Targets ($M) | Expected Contribution |
|---|---|
| AI Colocation (Incl. Agreement) | 80-200 |
| GPU-as-a-Service (NeoCloudz) | Up to 100 |
| Energy Sales | 12 |
Share-Based Incentives and Continued Expansion
As part of its continued strategy to attract top talent and align interests with key stakeholders, Digi Power X granted 650,000 stock options and 1,730,000 restricted share units to management, directors, and employees. These incentives vest over time, reflecting confidence in the long-term growth narrative as the company opens its Silicon Valley office and scales out its AI operations.
Takeaway: Execution on AI Transition Sets Digi Power X Apart
Digi Power X’s Q1 results and bold capital deployment reinforce the company’s commitment to the AI data center frontier, transforming early investments into tangible business momentum. Investors will be watching execution closely as new revenue from NeoCloudz ramps up and the $1.1 billion colocation agreement moves through its early phases. With a firmly fortified balance sheet and tech-forward leadership, Digi Power X is positioning itself as a serious contender in the next phase of AI infrastructure development.
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