Applied Digital (APLD)
Market Price (5/2/2026): $33.6 | Market Cap: $9.5 BilSector: Information Technology | Industry: IT Consulting & Other Services
Applied Digital (APLD)
Market Price (5/2/2026): $33.6Market Cap: $9.5 BilSector: Information TechnologyIndustry: IT Consulting & Other Services
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 105% Megatrend and thematic driversMegatrends include Artificial Intelligence, and Crypto & Blockchain. Themes include Data Centers & Infrastructure, High-Performance Computing (HPC) Hosting, Show more. | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -66 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -23% Expensive valuation multiplesP/SPrice/Sales ratio is 33x Stock price has recently run up significantly12M Rtn12 month market price return is 544% Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 38% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -13%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -637% Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -6.2% High stock price volatilityVol 12M is 119% Significant short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 28% Key risksAPLD key risks include [1] significant financial strain from a highly leveraged and capital-intensive business model and [2] a heavy dependence on a single key customer which introduces concentration and project execution risk. |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 105% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, and Crypto & Blockchain. Themes include Data Centers & Infrastructure, High-Performance Computing (HPC) Hosting, Show more. |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -66 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -23% |
| Expensive valuation multiplesP/SPrice/Sales ratio is 33x |
| Stock price has recently run up significantly12M Rtn12 month market price return is 544% |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 38% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -13%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -637% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -6.2% |
| High stock price volatilityVol 12M is 119% |
| Significant short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 28% |
| Key risksAPLD key risks include [1] significant financial strain from a highly leveraged and capital-intensive business model and [2] a heavy dependence on a single key customer which introduces concentration and project execution risk. |
Qualitative Assessment
AI Analysis | Feedback
1. Balancing strong revenue growth and analyst optimism with persistent net losses and significant debt. Applied Digital has demonstrated robust revenue growth, reporting $126.6 million in Q2 FY2026, a 250% year-over-year increase, and adjusted revenue of $108.6 million in Q3 FY2026. This growth, coupled with a $5 billion, 15-year lease agreement with a hyperscaler for 200 MW at Polaris Forge 2, has led to a "Strong Buy" consensus among analysts, with a median price target of $48.00. However, the company continues to incur net losses, reporting a $31.2 million net loss in Q2 FY2026 and a $100.9 million net loss (or $0.36 per diluted share) in Q3 FY2026, missing consensus estimates. Furthermore, the company carries substantial debt, totaling $2.7 billion as of February 28, 2026, offsetting its $2.1 billion in cash and equivalents.
2. High capital expenditure and associated execution risk for aggressive data center expansion. The company is heavily investing in expanding its high-performance computing (HPC) and AI data center infrastructure, including completing the first 100 MW building at Polaris Forge 1 and developing Polaris Forge 2. This aggressive expansion is fueled by a $2.35 billion private offering of senior secured notes and additional funding, indicating significant capital requirements. While this positions the company for future growth, it also introduces execution risks related to construction timelines, operational ramp-up, and the ability to consistently secure new high-value tenants, which can temper investor enthusiasm.
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Stock Movement Drivers
Fundamental Drivers
The -1.0% change in APLD stock from 1/31/2026 to 5/1/2026 was primarily driven by a -25.5% change in the company's P/S Multiple.| (LTM values as of) | 1312026 | 5012026 | Change |
|---|---|---|---|
| Stock Price ($) | 33.88 | 33.55 | -1.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 210 | 284 | 35.0% |
| P/S Multiple | 44.7 | 33.3 | -25.5% |
| Shares Outstanding (Mil) | 277 | 282 | -1.6% |
| Cumulative Contribution | -1.0% |
Market Drivers
1/31/2026 to 5/1/2026| Return | Correlation | |
|---|---|---|
| APLD | -1.0% | |
| Market (SPY) | 3.6% | 61.3% |
| Sector (XLK) | 12.6% | 63.4% |
Fundamental Drivers
The -3.2% change in APLD stock from 10/31/2025 to 5/1/2026 was primarily driven by a -55.0% change in the company's P/S Multiple.| (LTM values as of) | 10312025 | 5012026 | Change |
|---|---|---|---|
| Stock Price ($) | 34.66 | 33.55 | -3.2% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 120 | 284 | 136.8% |
| P/S Multiple | 73.9 | 33.3 | -55.0% |
| Shares Outstanding (Mil) | 256 | 282 | -9.3% |
| Cumulative Contribution | -3.2% |
Market Drivers
10/31/2025 to 5/1/2026| Return | Correlation | |
|---|---|---|
| APLD | -3.2% | |
| Market (SPY) | 5.5% | 54.7% |
| Sector (XLK) | 8.0% | 61.0% |
Fundamental Drivers
The 639.0% change in APLD stock from 4/30/2025 to 5/1/2026 was primarily driven by a 357.2% change in the company's P/S Multiple.| (LTM values as of) | 4302025 | 5012026 | Change |
|---|---|---|---|
| Stock Price ($) | 4.54 | 33.55 | 639.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 139 | 284 | 104.9% |
| P/S Multiple | 7.3 | 33.3 | 357.2% |
| Shares Outstanding (Mil) | 222 | 282 | -21.1% |
| Cumulative Contribution | 639.0% |
Market Drivers
4/30/2025 to 5/1/2026| Return | Correlation | |
|---|---|---|
| APLD | 639.0% | |
| Market (SPY) | 30.4% | 34.8% |
| Sector (XLK) | 55.1% | 41.0% |
Fundamental Drivers
The 948.4% change in APLD stock from 4/30/2023 to 5/1/2026 was primarily driven by a 595.1% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 4302023 | 5012026 | Change |
|---|---|---|---|
| Stock Price ($) | 3.20 | 33.55 | 948.4% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 41 | 284 | 595.1% |
| P/S Multiple | 7.4 | 33.3 | 351.9% |
| Shares Outstanding (Mil) | 94 | 282 | -66.6% |
| Cumulative Contribution | 948.4% |
Market Drivers
4/30/2023 to 5/1/2026| Return | Correlation | |
|---|---|---|
| APLD | 948.4% | |
| Market (SPY) | 78.7% | 30.4% |
| Sector (XLK) | 119.1% | 32.7% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| APLD Return | 11803% | -56% | 266% | 13% | 221% | 40% | 97201% |
| Peers Return | 60% | -84% | 353% | 57% | 23% | 39% | 204% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 5% | 92% |
Monthly Win Rates [3] | |||||||
| APLD Win Rate | 75% | 58% | 58% | 42% | 58% | 50% | |
| Peers Win Rate | 42% | 33% | 75% | 48% | 62% | 55% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| APLD Max Drawdown | -22% | -79% | -3% | -65% | -55% | -16% | |
| Peers Max Drawdown | -23% | -86% | -6% | -43% | -43% | -12% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -7% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: MARA, RIOT, CLSK, CORZ, HUT.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 5/1/2026 (YTD)
How Low Can It Go
| Event | APLD | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -65.4% | -18.8% |
| % Gain to Breakeven | 189.2% | 23.1% |
| Time to Breakeven | 48 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -34.5% | -7.8% |
| % Gain to Breakeven | 52.6% | 8.5% |
| Time to Breakeven | 26 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -61.5% | -9.5% |
| % Gain to Breakeven | 159.9% | 10.5% |
| Time to Breakeven | 378 days | 24 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -38.2% | -6.7% |
| % Gain to Breakeven | 61.8% | 7.1% |
| Time to Breakeven | 32 days | 31 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -78.3% | -24.5% |
| % Gain to Breakeven | 361.4% | 32.4% |
| Time to Breakeven | 307 days | 427 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -18.3% | -19.2% |
| % Gain to Breakeven | 22.3% | 23.7% |
| Time to Breakeven | 83 days | 105 days |
In The Past
Applied Digital's stock fell -65.4% during the 2025 US Tariff Shock. Such a loss loss requires a 189.2% gain to breakeven.
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| Event | APLD | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -65.4% | -18.8% |
| % Gain to Breakeven | 189.2% | 23.1% |
| Time to Breakeven | 48 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -34.5% | -7.8% |
| % Gain to Breakeven | 52.6% | 8.5% |
| Time to Breakeven | 26 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -61.5% | -9.5% |
| % Gain to Breakeven | 159.9% | 10.5% |
| Time to Breakeven | 378 days | 24 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -38.2% | -6.7% |
| % Gain to Breakeven | 61.8% | 7.1% |
| Time to Breakeven | 32 days | 31 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -78.3% | -24.5% |
| % Gain to Breakeven | 361.4% | 32.4% |
| Time to Breakeven | 307 days | 427 days |
| 2016-2017 Trump Reflation Bond Selloff | ||
| % Loss | -84.6% | -3.7% |
| % Gain to Breakeven | 550.0% | 3.9% |
| Time to Breakeven | 104 days | 6 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -45.0% | -12.2% |
| % Gain to Breakeven | 81.8% | 13.9% |
| Time to Breakeven | 19 days | 62 days |
| 2011 US Debt Ceiling Crisis & European Contagion | ||
| % Loss | -57.5% | -17.9% |
| % Gain to Breakeven | 135.3% | 21.8% |
| Time to Breakeven | 35 days | 123 days |
| 2010 Eurozone Sovereign Debt Crisis / Flash Crash | ||
| % Loss | -50.0% | -15.4% |
| % Gain to Breakeven | 100.0% | 18.2% |
| Time to Breakeven | 40 days | 125 days |
| 2008-2009 Global Financial Crisis | ||
| % Loss | -91.7% | -53.4% |
| % Gain to Breakeven | 1100.0% | 114.4% |
| Time to Breakeven | 230 days | 1085 days |
In The Past
Applied Digital's stock fell -65.4% during the 2025 US Tariff Shock. Such a loss loss requires a 189.2% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
About Applied Digital (APLD)
AI Analysis | Feedback
The Equinix or Digital Realty for companies needing to host AI and crypto supercomputers.
A specialized Amazon Web Services (AWS) or Microsoft Azure, providing infrastructure for intensive AI and crypto operations.
AI Analysis | Feedback
- High-Performance Computing (HPC) Datacenter Hosting: Provides secure and scalable infrastructure for compute-intensive applications and workloads.
- Crypto Datacenter Hosting: Offers specialized hosting solutions designed to support cryptocurrency mining operations and blockchain technologies.
- Artificial Intelligence (AI) Cloud Services: Delivers on-demand computing resources and platforms tailored for developing and deploying AI models and applications.
AI Analysis | Feedback
Applied Digital (APLD) primarily sells its digital infrastructure solutions, artificial intelligence cloud services, high-performance computing datacenter hosting, and crypto datacenter hosting services to other companies.
Its major customers include:
AI Analysis | Feedback
Wes Cummins, Chairman and Chief Executive Officer
Wes Cummins is the Chairman and CEO of Applied Digital, a company he co-founded. With over 20 years of experience as a technology investor, he has a robust background in capital markets, holding positions at investment banks and institutional asset management firms. Cummins founded and serves as CEO of 272 Capital LP, an investment advisory firm specializing in technology hardware, software, and services companies. He also previously led technology investing at Nokomis Capital. Cummins serves on the board of Sequans Communications S.A.
Saidal Mohmand, Chief Financial Officer
Saidal Mohmand serves as the Chief Financial Officer for Applied Digital, a position he assumed effective October 15, 2024. He previously served as the company's Executive Vice President of Finance since September 2021, where he was instrumental in leading financial strategy and capital market initiatives. Mohmand's experience includes a tenure as Director of Research at 272 Capital, an investment advisory firm, and a role at B. Riley Asset Management following its acquisition of 272 Capital.
Jason Zhang, President and Cofounder
Jason Zhang is the President and Cofounder of Applied Digital. He most recently served as the company's Chief Strategy Officer since August 2025. Zhang founded Valuefinder in 2019, an investment and advisory firm focused on technology companies. His prior experience includes being on the investment team at Sequoia Capital, where he focused on various sectors including AI, blockchain, and digital infrastructure, and at MSD Capital, focusing on private and public investments.
Laura Laltrello, Chief Operating Officer
Laura Laltrello is the Chief Operating Officer for Applied Digital, responsible for driving the execution of the company's strategic vision and overseeing day-to-day operations. She brings nearly 20 years of executive leadership experience, with deep expertise in data center operations, building technologies, and large-scale infrastructure projects. Before joining Applied Digital, Laltrello was the VP, GM of the Building Automation Services' business at Honeywell.
Nick Phillips, Executive Vice President of Public Affairs and Real Estate Acquisition
Nick Phillips serves as the Executive Vice President of Public Affairs and Real Estate Acquisition for Applied Digital. He is a seasoned operations executive known for scaling high-tech infrastructure. Prior to joining Applied Digital, Phillips founded and led multiple technology companies, including a traditional data center and one of North America's largest blockchain hosting companies. He has extensive experience in government relations and legislative affairs, which was instrumental in the launch and operation of Applied Digital's initial data centers.
AI Analysis | Feedback
The key risks for Applied Digital (APLD) primarily revolve around its ambitious data center expansion for high-performance computing and AI, along with the associated financial commitments.
- Execution Risks and Capacity Expansion: Applied Digital's growth strategy heavily depends on its ability to construct and bring online large-scale data centers, such as the Polaris Forge campuses, and to fulfill significant contracts with customers like CoreWeave. The company faces considerable execution risks, including challenges in rapid capacity expansion, ensuring timely and on-budget project completion, and converting signed leases into operational, revenue-generating facilities. Delays or inefficiencies in these complex buildouts could materially impact the company's financial performance.
- Financial Risks (Heavy Debt, Cash Burn, and Potential Dilution): Applied Digital's aggressive expansion requires substantial capital, leading to heavy debt loads and high interest costs. The company has experienced significant cash burn, with its debt exceeding its cash on the balance sheet. This financial leverage creates risks related to debt refinancing, maintaining sufficient liquidity, and the potential for shareholder dilution if additional capital needs to be raised through equity offerings.
- Customer Concentration: Applied Digital exhibits significant customer concentration, particularly its reliance on key partners such as CoreWeave. The long-term durability of its revenue is closely tied to the stability and continued business with these major counterparties. Any issues with these primary customers, or a failure to sustain these large contracts, could have a substantial adverse effect on Applied Digital's revenue streams and overall business outlook.
AI Analysis | Feedback
- Vertical Integration by Major AI and HPC Consumers: Leading consumers of high-performance computing (HPC) and artificial intelligence (AI) infrastructure, such as major cloud providers (e.g., Microsoft, Google) and large AI development firms (e.g., OpenAI, Meta), are increasingly investing heavily in and building out their own massive, bespoke datacenters and integrated hardware/software stacks. This trend towards self-sufficiency means these key potential clients are less likely to rely on third-party datacenter hosting and infrastructure services like those offered by Applied Digital for their most significant and advanced computing needs.
- Expansion of AI Hardware Suppliers into Cloud Services: Critical hardware suppliers for AI and HPC, most notably Nvidia, are expanding their offerings to include direct AI cloud services (e.g., Nvidia DGX Cloud) and integrated enterprise AI platforms. This strategic move positions a key supplier as a direct competitor to Applied Digital, potentially capturing customers who seek an end-to-end solution directly from the hardware innovator, thereby bypassing independent datacenter operators.
AI Analysis | Feedback
Applied Digital (APLD) operates in several significant addressable markets related to digital infrastructure, high-performance computing, artificial intelligence, and cryptocurrency hosting in North America and globally.
Artificial Intelligence (AI) Cloud Services
The global AI infrastructure market was valued at approximately USD 58.78 billion in 2025 and is projected to grow to about USD 497.98 billion by 2034, at a compound annual growth rate (CAGR) of 26.60%. North America held the largest share of this market, accounting for 37.10% in 2025. Another estimate places the global AI infrastructure market size at USD 72.02 billion in 2025, with a projection to reach USD 465.86 billion by 2034, growing at a CAGR of 23.05%. In this projection, North America accounted for 41% of the global market share in 2025. The global AI platform cloud service market size was approximately USD 13.80 billion in 2025 and is predicted to reach around USD 104.16 billion by 2035, expanding at a CAGR of 22.40%.
More specifically for cloud AI, the global market size was valued at USD 102.09 billion in 2025 and is projected to grow to USD 780.64 billion by 2034, exhibiting a CAGR of 23.80%. North America dominated this global market with a share of USD 35.39 billion in 2025. The AI Ready Cloud Solutions market, which provides infrastructure and platforms for AI workloads, was valued at USD 21.37 billion in 2025 globally and is expected to reach USD 174.97 billion by 2035 with a CAGR of 23.40%. North America led this market with a 45% share in 2025.
High-Performance Computing (HPC) Datacenter Hosting
The global High-Performance Computing (HPC) as a Service market is projected to grow from USD 48.66 billion in 2025 to USD 75.43 billion by 2031, at a CAGR of 7.58%. North America leads this market. Another source estimates the global HPC as a Service market size at USD 41.30 billion in 2025, anticipated to increase to approximately USD 72.12 billion by 2034, expanding at a CAGR of 6.39%. North America dominated the HPC as a Service market in 2024. The broader global High Performance Computing market was valued at USD 43.5 billion in 2025 and is expected to grow to USD 92.1 billion in 2035, at a CAGR of 7.9%. The U.S. HPC market specifically was valued at USD 15.7 billion in 2025.
Crypto Datacenter Hosting Services
The global cryptocurrency mining market size was valued at USD 1.5 billion in 2024. It is projected to grow from USD 1.8 billion in 2025 to USD 3 billion by 2032, exhibiting a CAGR of 8%. North America is identified as a major region for cryptocurrency mining due to significant investments and access to renewable energy resources. Another estimate places the global cryptocurrency mining market size at USD 2.77 billion in 2025, with a projection to increase to approximately USD 9.18 billion by 2035, expanding at a CAGR of 12.73%. In this market, North America generated the largest portion of the worldwide revenue. Furthermore, the North America cryptocurrency mining hardware market generated a revenue of USD 725.1 million in 2023 and is expected to reach USD 1,427.7 million by 2030, growing at a CAGR of 10.2% from 2024 to 2030.
AI Analysis | Feedback
Applied Digital Corporation (APLD) is poised for substantial revenue growth over the next 2-3 years, driven primarily by its expanding high-performance computing (HPC) infrastructure and strategic ventures in artificial intelligence (AI) cloud services. Key drivers include:
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Expansion of High-Performance Computing (HPC) Data Center Capacity and Long-Term Lease Agreements: Applied Digital is significantly expanding its data center footprint, particularly its Polaris Forge campuses. The company has secured substantial long-term contracts, including an approximate $11 billion, 15-year lease agreement with CoreWeave for its 400 MW Polaris Forge 1 facility. Additionally, a $5 billion, 15-year lease has been secured with an investment-grade hyperscaler for 200 MW at Polaris Forge 2. With 700 megawatts of capacity currently under construction and a long-term pipeline targeting 1.5 GW to 2 GW, the ongoing build-out and subsequent leasing of these facilities are expected to be a major revenue catalyst.
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Growth of AI Cloud Services through ChronoScale: Applied Digital's strategic decision to spin off its cloud computing business into a new entity, ChronoScale, is anticipated to drive future revenue. ChronoScale will focus on GPU-accelerated computing, supporting AI workloads and leveraging Applied Digital's large-scale data center infrastructure. The cloud platform currently generates over $60 million in trailing twelve-month revenue, and this focused approach is expected to capture a larger share of the growing AI compute market.
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Revenue from Tenant Fit-Out Services: As Applied Digital constructs new data centers and prepares them for specific clients, it generates revenue from "turnkey fit-out services" or "tenant fit-out services." For example, the company reported $73 million in revenue from these services for CoreWeave in Q2 FY2026. While often one-time in nature for each tenant, these services are significant revenue generators during the construction and commissioning phases of large-scale projects, preceding the recurring lease income.
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Increased Utilization and Optimization of Existing Data Center Hosting: The company's established data center hosting segment, which serves blockchain, AI, and other high-performance computing applications, continues to contribute to revenue growth. This segment reported a 15% year-over-year revenue increase in Q2 FY2026, driven by higher capacity utilization. Ongoing performance improvements and the energization of additional capacity within existing facilities will help sustain and grow this revenue stream.
AI Analysis | Feedback
Share Repurchases
- In October 2024, Applied Digital announced a share repurchase program of approximately $84 million of its common stock in connection with an offering of convertible notes.
Share Issuance
- Around early 2026, the company raised $160 million through a placement of shares with large institutional investors, including Nvidia.
- In November 2025, stockholders approved an amendment to the 2024 Omnibus Equity Incentive Plan to increase shares authorized for issuance under the plan by 15,000,000 shares.
- Also in November 2025, a charter amendment was approved to increase the company's authorized common stock to 600,000,000 shares.
Inbound Investments
- Applied Digital has an agreement with Macquarie Asset Management providing up to $5 billion for the development of AI Factory campuses, with recent draws including $337.5 million in early 2026 and an additional $562.5 million in fiscal Q2 2026.
- The company completed a $2.35 billion private offering of 9.25% senior secured notes due 2030, with proceeds allocated to the construction of facilities at Polaris Forge 1, repayment of a loan, and establishment of debt service reserves.
Outbound Investments
- In fiscal Q2 2026, Applied Digital invested $15 million and led a $25 million funding round for Corintis, a developer of advanced direct-to-chip liquid-cooling technology.
Capital Expenditures
- As of August 31, 2025, Applied Digital had built and funded over $1.6 billion in property and equipment.
- The company commenced construction on the Polaris Forge 2 AI data center in Harwood, North Dakota, which is a massive $3 billion project with operations expected to launch in 2026 and reach full capacity by early 2027.
- Applied Digital is currently in a capital expenditure-heavy build-out phase, expanding its data center capacity to support high-performance computing and AI workloads.
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 19.43 |
| Mkt Cap | 6.5 |
| Rev LTM | 483 |
| Op Inc LTM | -271 |
| FCF LTM | -1,093 |
| FCF 3Y Avg | -843 |
| CFO LTM | -321 |
| CFO 3Y Avg | -170 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 53.1% |
| Rev Chg 3Y Avg | 101.7% |
| Rev Chg Q | 0.8% |
| QoQ Delta Rev Chg LTM | 0.1% |
| Op Inc Chg LTM | -169.8% |
| Op Inc Chg 3Y Avg | -106.0% |
| Op Mgn LTM | -61.7% |
| Op Mgn 3Y Avg | -45.5% |
| QoQ Delta Op Mgn LTM | -14.4% |
| CFO/Rev LTM | -76.3% |
| CFO/Rev 3Y Avg | -51.1% |
| FCF/Rev LTM | -160.3% |
| FCF/Rev 3Y Avg | -213.5% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 6.5 |
| P/S | 15.2 |
| P/Op Inc | -23.5 |
| P/EBIT | -21.4 |
| P/E | -17.8 |
| P/CFO | -9.1 |
| Total Yield | -6.0% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | -28.6% |
| D/E | 0.2 |
| Net D/E | 0.1 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | 41.9% |
| 3M Rtn | 16.4% |
| 6M Rtn | -6.0% |
| 12M Rtn | 138.1% |
| 3Y Rtn | 355.5% |
| 1M Excs Rtn | 31.9% |
| 3M Excs Rtn | 12.2% |
| 6M Excs Rtn | -14.5% |
| 12M Excs Rtn | 123.6% |
| 3Y Excs Rtn | 276.8% |
Price Behavior
| Market Price | $33.55 | |
| Market Cap ($ Bil) | 9.5 | |
| Distance from 52W High | -18.9% | |
| 50 Days | 200 Days | |
| DMA Price | $28.46 | $26.29 |
| DMA Trend | up | down |
| Distance from DMA | 17.9% | 27.6% |
| 3M | 1YR | |
| Volatility | 110.6% | 118.9% |
| Downside Capture | 2.43 | 1.42 |
| Upside Capture | 325.71 | 409.14 |
| Correlation (SPY) | 60.5% | 35.0% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 3.86 | 4.35 | 4.57 | 4.52 | 3.32 | 2.65 |
| Up Beta | 6.23 | 5.63 | 7.21 | 5.95 | 3.17 | 1.95 |
| Down Beta | 5.74 | 5.51 | 3.19 | 4.02 | 2.78 | 2.62 |
| Up Capture | 296% | 480% | 432% | 769% | 2839% | 64991% |
| Bmk +ve Days | 15 | 22 | 31 | 66 | 141 | 428 |
| Stock +ve Days | 14 | 23 | 29 | 57 | 124 | 371 |
| Down Capture | -1101% | 288% | 325% | 258% | 180% | 113% |
| Bmk -ve Days | 4 | 18 | 30 | 56 | 108 | 321 |
| Stock -ve Days | 8 | 20 | 35 | 68 | 127 | 378 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with APLD | |
|---|---|---|---|---|
| APLD | 714.6% | 119.3% | 2.29 | - |
| Sector ETF (XLK) | 55.3% | 20.5% | 2.04 | 40.8% |
| Equity (SPY) | 30.6% | 12.5% | 1.88 | 34.4% |
| Gold (GLD) | 39.5% | 27.2% | 1.20 | 18.9% |
| Commodities (DBC) | 51.5% | 17.9% | 2.20 | -0.8% |
| Real Estate (VNQ) | 13.1% | 13.5% | 0.67 | 5.8% |
| Bitcoin (BTCUSD) | -18.2% | 42.1% | -0.36 | 29.4% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with APLD | |
|---|---|---|---|---|
| APLD | 88.4% | 172.2% | 1.04 | - |
| Sector ETF (XLK) | 18.6% | 24.8% | 0.67 | 25.3% |
| Equity (SPY) | 12.8% | 17.1% | 0.59 | 25.3% |
| Gold (GLD) | 20.5% | 17.9% | 0.94 | 11.1% |
| Commodities (DBC) | 14.3% | 19.1% | 0.61 | 9.3% |
| Real Estate (VNQ) | 3.5% | 18.8% | 0.09 | 16.6% |
| Bitcoin (BTCUSD) | 7.4% | 56.1% | 0.35 | 18.8% |
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Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with APLD | |
|---|---|---|---|---|
| APLD | 164.0% | 271.8% | 1.64 | - |
| Sector ETF (XLK) | 23.6% | 24.4% | 0.88 | 14.9% |
| Equity (SPY) | 14.9% | 17.9% | 0.71 | 14.6% |
| Gold (GLD) | 13.6% | 15.9% | 0.71 | 7.2% |
| Commodities (DBC) | 9.7% | 17.7% | 0.46 | 3.1% |
| Real Estate (VNQ) | 5.7% | 20.7% | 0.24 | 10.9% |
| Bitcoin (BTCUSD) | 67.4% | 66.9% | 1.07 | 13.0% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 4/8/2026 | -8.0% | 10.9% | |
| 1/7/2026 | 8.1% | 22.1% | 18.2% |
| 10/9/2025 | 16.0% | 25.1% | 5.8% |
| 7/30/2025 | 31.0% | 47.5% | 65.5% |
| 4/14/2025 | -35.9% | -25.0% | 11.4% |
| 1/14/2025 | -2.0% | 12.9% | -7.4% |
| 8/28/2024 | -13.4% | 21.8% | 85.7% |
| 4/11/2024 | -11.7% | -22.1% | 7.8% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 8 | 11 | 9 |
| # Negative | 6 | 3 | 4 |
| Median Positive | 13.2% | 21.8% | 18.2% |
| Median Negative | -12.6% | -25.0% | -25.7% |
| Max Positive | 31.0% | 71.7% | 85.7% |
| Max Negative | -35.9% | -35.0% | -40.6% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 02/28/2026 | 04/08/2026 | 10-Q |
| 11/30/2025 | 01/08/2026 | 10-Q |
| 08/31/2025 | 10/09/2025 | 10-Q |
| 05/31/2025 | 07/30/2025 | 10-K |
| 02/28/2025 | 04/14/2025 | 10-Q |
| 11/30/2024 | 01/14/2025 | 10-Q |
| 08/31/2024 | 10/09/2024 | 10-Q |
| 05/31/2024 | 08/30/2024 | 10-K |
| 02/29/2024 | 04/11/2024 | 10-Q |
| 11/30/2023 | 01/16/2024 | 10-Q |
| 08/31/2023 | 10/10/2023 | 10-Q |
| 05/31/2023 | 08/02/2023 | 10-K |
| 02/28/2023 | 04/06/2023 | 10-Q |
| 11/30/2022 | 01/10/2023 | 10-Q |
| 08/31/2022 | 10/12/2022 | 10-Q |
| 05/31/2022 | 08/29/2022 | 10-K |
Recent Forward Guidance [BETA]
Latest: Q3 2026 Earnings Reported 4/8/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2031 NOI | 1.00 Bil | 0 | Affirmed | Guidance: 1.00 Bil for 2031 | |||
Prior: Q2 2026 Earnings Reported 1/7/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2031 NOI | 1.00 Bil | 0 | Affirmed | Guidance: 1.00 Bil for 2030 | |||
| 2026 Revenue | 5.00 Bil | ||||||
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Miller, Douglas S | Direct | Sell | 4282026 | 34.98 | 10,000 | 349,800 | 6,466,368 | Form | |
| 2 | Hastings, Chuck | Direct | Sell | 1302026 | 38.57 | 45,987 | 1,773,719 | 14,979,508 | Form | |
| 3 | Cummins, Wes | CEO; Chairman | Direct | Sell | 1162026 | 36.42 | 165,000 | 6,009,300 | 152,101,902 | Form |
| 4 | Nottenburg, Richard N | Direct | Sell | 1162026 | 35.45 | 12,000 | 425,400 | 8,273,250 | Form | |
| 5 | Nottenburg, Richard N | Direct | Sell | 1162026 | 35.28 | 11,606 | 409,460 | 8,656,936 | Form |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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