Power Control And Long-Term Leases Will Drive AI Data Center Expansion

Key Takeaways

• Long-term AI hyperscaler contracts, efficient building processes, and strategic locations drive revenue growth, margin expansion, and sustainability advantages.
  
• Growing pipeline with major hyperscale clients and industry demand lowers customer risk and supports earnings visibility amid the digital transformation trend.
  
• Heavy reliance on volatile crypto, aggressive debt-fueled expansion, concentrated customers, intensifying competition, and escalating regulatory and technology upgrade demands pose substantial financial and operational risks.

Catalysts

Designs, develops, and operates digital infrastructure solutions to high-performance computing (HPC) and artificial intelligence industries in North America.

• The company has recently secured long-term (15-year) leasing agreements with CoreWeave-a major AI hyperscaler-for its purpose-built AI/HPC data center campus, Polaris Forge 1, representing a total of $7 billion in contracted revenue and a multi-year, recurring, and predictable revenue stream that directly supports future revenue growth and cash flow stability.
  
• Momentum in the data center segment is underpinned by surging demand for AI infrastructure, and Applied Digital is leveraging its streamlined proprietary building designs to reduce build times from 24 months to 12–14 months, enabling faster scaling of capacity and greater capital efficiency, which is likely to benefit both revenue growth and net margin expansion.
  
• The company's focus on locating campuses in the Dakotas enables access to abundant, low-cost, and renewable power, with optimized liquid cooling and energy efficient designs (projected PUE of 1.18 and near-zero water consumption), significantly lowering operating costs per megawatt and providing a long-term net margin advantage in a market that increasingly prioritizes sustainability.
  
• Relationships with multiple investment-grade North American hyperscalers-with two new customers already onboarded and several others in late-stage negotiations-suggest a robust pipeline of additional large-scale, high-value contracts, reducing future customer concentration risks and boosting long-term revenue visibility.
  
• The accelerating industry need for high-density, geographically distributed data centers to support AI and machine learning workloads places Applied Digital in a favorable position, capitalizing on digital transformation trends that are set to drive ongoing utilization growth, improved asset values, and ultimately earnings expansion over the next several years.

Applied Digital Future Earnings and Revenue Growth

Assumptions

How have these above catalysts been quantified?

• Analysts are assuming Applied Digital's revenue will grow by 96.1% annually over the next 3 years.
• Analysts assume that profit margins will increase from -37.5% today to 4.9% in 3 years time.
• Analysts expect earnings to reach $117.0 million (and earnings per share of $0.41) by about July 2029, up from -$119.8 million today. However, there is a considerable amount of disagreement amongst the analysts with the most bullish expecting $1.8 billion in earnings, and the most bearish expecting $-484.2 million.
• In order for the above numbers to justify the price target of the analysts, the company would need to trade at a PE ratio of 288.4x on those 2029 earnings, up from -84.8x today. This future PE is greater than the current PE for the US IT industry at 16.6x.
• Analysts expect the number of shares outstanding to grow by 7.0% per year for the next 3 years.
• To value all of this in today's terms, we will use a discount rate of 9.52%, as per the Simply Wall St company report.

Risks

• The company maintains significant exposure to cryptocurrency mining customers, and although management is optimistic about this segment, continued volatility in the crypto market may result in inconsistent revenue streams and undermine long-term earnings stability.
  
• Applied Digital's aggressive expansion involves substantial capital expenditures and a rising debt load ($688.2 million in debt as of quarter end), which increases financial leverage and balance sheet risk; failure to achieve targeted utilization or contract new customers could depress net margins and strain cash flows if growth assumptions are not met.
  
• The company's major revenue growth hinges on a limited number of large hyperscaler customers (such as CoreWeave), creating meaningful client concentration risk-losing or renegotiating these contracts could lead to sharp reductions in both revenue and earnings reliability.
  
• Long-term industry competition is intensifying with well-capitalized hyperscalers and infrastructure providers, who may leverage their scale to exert pricing pressure, erode Applied Digital's market share, and potentially compress margins over time.
  
• Ongoing technological evolution in HPC/data center infrastructure (e.g., chipsets, liquid cooling, energy efficiency) may require Applied Digital to commit to frequent and expensive upgrades; combined with increasing regulatory and ESG scrutiny on data centers' energy usage, this could result in sustained capital intensity, impact net margins, and limit access to capital.

Valuation

How have all the factors above been brought together to estimate a fair value?

• The analysts have a consensus price target of $73.36 for Applied Digital based on their expectations of its future earnings growth, profit margins and other risk factors.
• However, there is a degree of disagreement amongst analysts, with the most bullish reporting a price target of $106.0, and the most bearish reporting a price target of just $40.0.
• In order for you to agree with the analysts, you'd need to believe that by 2029, revenues will be $2.4 billion, earnings will come to $117.0 million, and it would be trading on a PE ratio of 288.4x, assuming you use a discount rate of 9.5%.
• Given the current share price of $35.52, the analyst price target of $73.36 is 51.6% higher.
• We always encourage you to reach your own conclusions though. So sense check these analyst numbers against your own assumptions and expectations based on your understanding of the business and what you believe is probable.