Applied Digital (APLD)
Market Price (12/25/2025): $25.78 | Market Cap: $6.6 BilSector: Information Technology | Industry: IT Consulting & Other Services
Applied Digital (APLD)
Market Price (12/25/2025): $25.78Market Cap: $6.6 BilSector: Information TechnologyIndustry: IT Consulting & Other Services
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| 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 -46 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -31% |
| Expensive valuation multiplesP/SPrice/Sales ratio is 45x | |
| Stock price has recently run up significantly6M Rtn6 month market price return is 162%, 12M Rtn12 month market price return is 193% | |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 28% | |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -82%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -676% | |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 133% | |
| 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 -7.9% | |
| High stock price volatilityVol 12M is 128% | |
| 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 31% | |
| 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. |
| 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 -46 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -31% |
| Expensive valuation multiplesP/SPrice/Sales ratio is 45x |
| Stock price has recently run up significantly6M Rtn6 month market price return is 162%, 12M Rtn12 month market price return is 193% |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 28% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -82%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -676% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 133% |
| 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 -7.9% |
| High stock price volatilityVol 12M is 128% |
| 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 31% |
| 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. |
Why The Stock Moved
Qualitative Assessment
AI Analysis | Feedback
The user requested key points for Applied Digital (APLD) stock movement from August 31, 2025, to December 25, 2025, explaining a 61% rise. While direct reports of a precise 61% increase for this future period are not available, several significant developments and analyst outlooks have been reported within and leading up to this timeframe that could drive substantial stock appreciation. Here are key points explaining potential drivers for significant stock movement for APLD around the specified period: 1. Strong Revenue Growth and AI Infrastructure Expansion: Applied Digital reported an 84.3% year-over-year revenue increase in Q1 fiscal 2026 (ending August 31, 2025), reaching $64 million, with analysts expecting a 38% increase for the full fiscal year 2026. This growth is largely driven by increased capacity online in its Data Center Hosting Business and expansion into high-performance computing (HPC) for AI workloads. The company is also advancing the construction of its first 100MW HPC facility, scheduled for completion in the second half of 2025.2. Major Hyperscaler Partnerships and Long-Term Leases: Applied Digital expanded its CoreWeave lease at Polaris Forge 1 from 250 MW in May 2025 to a fully leased 400 MW by August 2025 with a single hyperscaler tenant. Management projects approximately $11 billion in anticipated contracted lease revenue over roughly 15 years, significantly de-risking demand uncertainties. The company also recently announced a 15-year, $5 billion lease for 200 MW of capacity at Polaris Forge 2, which is expected to substantially boost its top line when lease revenue recognition begins in 2026.
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Stock Movement Drivers
Fundamental Drivers
The 9.7% change in APLD stock from 9/24/2025 to 12/24/2025 was primarily driven by a 24.8% change in the company's Total Revenues ($ Mil).| 9242025 | 12242025 | Change | |
|---|---|---|---|
| Stock Price ($) | 23.45 | 25.72 | 9.68% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 118.34 | 147.71 | 24.82% |
| P/S Multiple | 44.50 | 44.56 | 0.13% |
| Shares Outstanding (Mil) | 224.56 | 255.89 | -13.95% |
| Cumulative Contribution | 7.54% |
Market Drivers
9/24/2025 to 12/24/2025| Return | Correlation | |
|---|---|---|
| APLD | 9.7% | |
| Market (SPY) | 4.4% | 28.0% |
| Sector (XLK) | 5.1% | 44.6% |
Fundamental Drivers
The 161.9% change in APLD stock from 6/25/2025 to 12/24/2025 was primarily driven by a 239.4% change in the company's P/S Multiple.| 6252025 | 12242025 | Change | |
|---|---|---|---|
| Stock Price ($) | 9.82 | 25.72 | 161.91% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 166.38 | 147.71 | -11.22% |
| P/S Multiple | 13.13 | 44.56 | 239.38% |
| Shares Outstanding (Mil) | 222.45 | 255.89 | -15.03% |
| Cumulative Contribution | 156.00% |
Market Drivers
6/25/2025 to 12/24/2025| Return | Correlation | |
|---|---|---|
| APLD | 161.9% | |
| Market (SPY) | 14.0% | 25.6% |
| Sector (XLK) | 17.5% | 38.9% |
Fundamental Drivers
The 193.3% change in APLD stock from 12/24/2024 to 12/24/2025 was primarily driven by a 360.5% change in the company's P/S Multiple.| 12242024 | 12242025 | Change | |
|---|---|---|---|
| Stock Price ($) | 8.77 | 25.72 | 193.27% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 135.14 | 147.71 | 9.30% |
| P/S Multiple | 9.68 | 44.56 | 360.52% |
| Shares Outstanding (Mil) | 149.10 | 255.89 | -71.63% |
| Cumulative Contribution | 42.82% |
Market Drivers
12/24/2024 to 12/24/2025| Return | Correlation | |
|---|---|---|
| APLD | 193.3% | |
| Market (SPY) | 15.8% | 32.5% |
| Sector (XLK) | 22.2% | 39.5% |
Fundamental Drivers
The 1239.6% change in APLD stock from 12/25/2022 to 12/24/2025 was primarily driven by a 854.6% change in the company's Total Revenues ($ Mil).| 12252022 | 12242025 | Change | |
|---|---|---|---|
| Stock Price ($) | 1.92 | 25.72 | 1239.58% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 15.47 | 147.71 | 854.60% |
| P/S Multiple | 11.55 | 44.56 | 285.68% |
| Shares Outstanding (Mil) | 93.11 | 255.89 | -174.84% |
| Cumulative Contribution | -2855.43% |
Market Drivers
12/25/2023 to 12/24/2025| Return | Correlation | |
|---|---|---|
| APLD | 257.7% | |
| Market (SPY) | 48.9% | 30.8% |
| Sector (XLK) | 54.1% | 33.2% |
Price Returns Compared
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| APLD Return | 389% | 11803% | -56% | 266% | 13% | 241% | 362122% |
| Peers Return | � | � | � | � | � | 37% | � |
| S&P 500 Return | 16% | 27% | -19% | 24% | 23% | 18% | 115% |
Monthly Win Rates [3] | |||||||
| APLD Win Rate | 50% | 75% | 58% | 58% | 42% | 58% | |
| Peers Win Rate | � | � | � | � | 50% | 62% | |
| S&P 500 Win Rate | 58% | 75% | 42% | 67% | 75% | 73% | |
Max Drawdowns [4] | |||||||
| APLD Max Drawdown | -1% | -22% | -79% | -3% | -65% | -55% | |
| Peers Max Drawdown | � | � | � | � | � | -42% | |
| S&P 500 Max Drawdown | -31% | -1% | -25% | -1% | -2% | -15% | |
[1] Cumulative total returns since the beginning of 2020
[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] 2025 data is for the year up to 12/24/2025 (YTD)
How Low Can It Go
| Event | APLD | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -82.6% | -25.4% |
| % Gain to Breakeven | 475.0% | 34.1% |
| Time to Breakeven | 307 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -67.6% | -33.9% |
| % Gain to Breakeven | 208.6% | 51.3% |
| Time to Breakeven | 127 days | 148 days |
| 2018 Correction | ||
| % Loss | -89.8% | -19.8% |
| % Gain to Breakeven | 880.0% | 24.7% |
| Time to Breakeven | 412 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -91.7% | -56.8% |
| % Gain to Breakeven | 1100.0% | 131.3% |
| Time to Breakeven | 230 days | 1,480 days |
Compare to GIB, XRX, BAO, GBH, JAJI
In The Past
Applied Digital's stock fell -82.6% during the 2022 Inflation Shock from a high on 10/26/2021. A -82.6% loss requires a 475.0% gain to breakeven.
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AI Analysis | Feedback
Here are 1-2 brief analogies to describe Applied Digital (APLD):
- Like a highly specialized Amazon Web Services (AWS) or Microsoft Azure, purpose-built to power the most demanding AI computation and Bitcoin mining operations.
- They are a data center company, similar to Equinix, but specifically designed and operated for the intensive power demands of artificial intelligence and Bitcoin mining.
AI Analysis | Feedback
- High-Performance Computing (HPC) Data Center Co-location: They provide specialized data center infrastructure, including power, cooling, and network connectivity, for customers running high-performance computing workloads such as artificial intelligence, machine learning, and blockchain applications.
- Bitcoin Mining: They engage in self-mining Bitcoin and provide hosting services for other cryptocurrency miners within their data centers.
- GPU Cloud Services (NeutronPro): They offer on-demand access to high-performance graphics processing units (GPUs) for complex computational tasks, primarily for AI and machine learning applications, through their cloud platform.
AI Analysis | Feedback
Applied Digital (APLD) primarily sells its services to other companies (B2B) rather than directly to individuals. The company specializes in providing high-performance computing (HPC) solutions, data center infrastructure, and cloud services, particularly for Artificial Intelligence (AI) and large language model (LLM) applications.
Due to confidentiality agreements common in the data center and AI infrastructure industry, the specific names of many of Applied Digital's major current customers in the AI/HPC sector are not publicly disclosed.
However, the most significant announced customer for its strategic AI/HPC business is:
- An Undisclosed Large Language Model (LLM) Company: This customer has entered into a substantial 5-year, $180 million contract with Applied Digital for high-performance computing services. While the name of the company remains confidential, it represents Applied Digital's largest publicly announced contract within its strategic AI/HPC segment, highlighting a major revenue source for the company.
Historically, Applied Digital also provided hosting services for large-scale Bitcoin mining operations. While their strategic emphasis has significantly shifted towards AI/HPC, a notable past customer in the cryptocurrency mining sector included:
- Marathon Digital Holdings (MARA): Marathon was a significant customer for Applied Digital's Bitcoin mining hosting services in the past.
AI Analysis | Feedback
- Otter Tail Power Company (subsidiary of Otter Tail Corporation, symbol: OTTR)
- Montana-Dakota Utilities Co. (division of MDU Resources Group, Inc., symbol: MDU)
AI Analysis | Feedback
Wes Cummins, Chairman and Chief Executive Officer
Wes Cummins co-founded Applied Digital and serves as its Chairman and CEO. With over 20 years of experience as a technology investor, he possesses a strong background in capital markets, having worked at investment banks and institutional asset management firms. He founded and is the CEO of 272 Capital LP, an investment advisory firm that concentrates on technology hardware, software, and services companies. His career also includes leading technology investing at Nokomis Capital. Cummins started Applied Digital as a public company and has a background in public market investing, focusing on small-cap technology companies, particularly in tech hardware. In 2020, he was involved in the crypto ecosystem, specifically with Bitcoin miners, before transitioning to building high-performance data centers for AI workloads. He also serves on the board of Sequans Communications S.A.
Saidal Mohmand, Chief Financial Officer
Saidal Mohmand is a seasoned finance executive who currently serves as Applied Digital's Chief Financial Officer, a role he officially took on as of October 15, 2024. Prior to this, he was the Executive Vice President of Finance at Applied Digital since September 2021, where he was instrumental in leading the company's financial strategy and capital market initiatives. Mohmand also holds the position of Director of Research at 272 Capital LP, an investment advisory firm specializing in technology hardware, software, and service companies. Earlier in his career, he was the Director of Research at GrizzlyRock Capital, a Chicago-based value-oriented long/short fund. He holds a B.B.A. in Finance and Accountancy from Western Michigan University.
Laura Laltrello, Chief Operating Officer
Laura Laltrello joined Applied Digital as Chief Operating Officer, bringing nearly 20 years of executive leadership experience. She is responsible for driving the company's strategic vision and overseeing all aspects of daily operations. Laltrello possesses deep expertise in data center operations, building technologies, and large-scale infrastructure projects. Before joining Applied Digital, she was the Vice President and General Manager of the Building Automation Services business at Honeywell International Inc. Her career includes a range of senior leadership positions where she has delivered transformative projects and services for global technology leaders, and she previously served as VP GM of Lenovo's DataCenter Services business.
Jason Zhang, Chief Strategy Officer & Co-Founder
Jason Zhang is a Co-founder and the Chief Strategy Officer of Applied Digital. He is an experienced technology sector investor, having founded Valuefinder in 2019, a firm that advises and invests in technology companies. From 2017 to 2019, he served as an investment analyst at Sequoia Capital, focusing on areas such as AI, blockchain, digital infrastructure, enterprise software, consumer products, and hardware. Prior to that, from 2015 to 2017, he analyzed technology investments at MSD Capital, Michael Dell's family office. Zhang earned a BA in Economics from Harvard University. He also previously served as Co-Founder and President of Applied Digital from January 2021 until January 2025.
Erin Kraxberger, Chief Marketing Officer
Erin Kraxberger serves as the Chief Marketing Officer of Applied Digital. She is recognized for her ability to align marketing strategies with business goals, enhance market presence, attract major industry players, and generate investor interest. With nearly two decades of experience in finance and marketing, she specializes in technology investments. Kraxberger also currently holds the position of Chief Operating Officer at 272 Capital LP. Her previous roles include Head of Marketing & Investor Relations at SCW Capital Management, and her background encompasses financial planning and investment banking.
AI Analysis | Feedback
Applied Digital (APLD) faces several key risks, primarily centered on its financial health, reliance on key customers, and the capital-intensive nature of its operations.
- Financial Health and Capital Intensive Business Model: Applied Digital exhibits significant financial challenges, including a high debt-to-equity ratio of 2.19, raising concerns about its financial stability. The company has a negative price-to-earnings (P/E) ratio and substantial profitability challenges, with an operating margin of -31.26% and a net margin of -165.02%. Its current ratio of 0.70 suggests potential liquidity issues, as it may not have sufficient current assets to cover current liabilities. The company's rapid expansion into AI-focused data centers demands substantial financing, making it a capital-intensive business heavily reliant on external funding. This strategy places pressure on cash flow and increases dependence on debt and equity financing, which in turn carries the risk of dilution for investors. Applied Digital recently priced a $2.35 billion offering of senior secured notes to fund new facilities and refinance existing obligations, further increasing its leverage.
- Dependence on Key Customers and Execution Risk: A significant portion of Applied Digital's business and its ability to service debt relies on long-term leases with principal customers, particularly hyperscalers. For instance, the company heavily depends on CoreWeave as a main tenant, which has expanded its lease to the entire 400 megawatts at the Polaris Forge 1 campus. While these contracts provide revenue visibility, they also introduce customer concentration risk. The company's model requires flawless execution of these long-term leases, including the timely completion of data center construction, power delivery, and tenant ramp-ups. Any delays or shifts in hyperscaler demand could significantly strain cash flows and impact profitability.
- Market Volatility and Competitive Pressures: Applied Digital operates in a highly competitive and rapidly evolving digital infrastructure space, competing with established players like Equinix and Digital Realty Trust. The company also faces risks related to rapid technological changes and evolving AI and high-performance computing (HPC) infrastructure needs. The stock itself has demonstrated high volatility, with a beta of 4.56, indicating significant sensitivity to broader market movements. Recent sharp declines in share price have been attributed to market-wide pullbacks from high valuations in the AI infrastructure sector, highlighting investor sensitivity to aggressive valuations and capital-heavy strategies.
AI Analysis | Feedback
The intense and rapidly consolidating competitive landscape within the AI/High-Performance Computing (HPC) cloud services market. As Applied Digital pivots more heavily into this sector, it faces significant challenges from well-capitalized hyperscale cloud providers (e.g., AWS, Azure, Google Cloud) and specialized, highly funded AI infrastructure companies (e.g., CoreWeave) that are securing massive allocations of advanced GPUs and scaling their operations at an unprecedented pace. These competitors possess superior financial resources, broader market reach, deeper technical expertise, and established customer bases, making it increasingly difficult for APLD to effectively compete for large-scale AI workloads and secure a sustainable market share.
AI Analysis | Feedback
Applied Digital (APLD) primarily operates in the digital infrastructure sector, focusing on high-performance computing (HPC) and data center hosting, including services for artificial intelligence (AI) and cryptocurrency mining.
Addressable Markets for Applied Digital's Main Products and Services:
-
High-Performance Computing (HPC) and AI Data Centers:
- The global high-performance computing market was estimated at approximately USD 57.00 billion in 2024 and is projected to reach approximately USD 87.31 billion by 2030, growing at a CAGR of 7.2% from 2025 to 2030.
- More specifically for AI infrastructure, the global AI infrastructure market was valued at USD 47.23 billion in 2024 and is projected to reach approximately USD 499.33 billion by 2034.
- In the U.S., the HPC market generated a revenue of approximately USD 17.91 billion in 2024 and is expected to reach approximately USD 28.43 billion by 2030, growing at a CAGR of 7.8% from 2025 to 2030.
-
Data Center Hosting (General):
- The global data center market size was estimated at approximately USD 347.60 billion in 2024 and is projected to reach approximately USD 652.01 billion by 2030, growing at a CAGR of 11.2% from 2025 to 2030.
- The United States data center market size is estimated at approximately USD 114.48 billion in 2025 and is expected to reach approximately USD 158.55 billion by 2030, at a CAGR of 6.73%.
-
Cryptocurrency Mining Hosting:
- The global cryptocurrency mining market was valued at approximately USD 4.66 billion in 2024 and is projected to grow to approximately USD 14.09 billion by 2035, representing a CAGR of 10.57%.
- The global Bitcoin miner market specifically was valued at approximately USD 11.19 billion in 2024 and is projected to reach approximately USD 94.14 billion by 2033. North America, particularly the U.S., is a significant contributor to this market.
-
AI Cloud Services (through Sai Computing):
- Although Applied Digital has recently indicated a strategic shift and plans to sell its Cloud Services Business, these services fall within the broader AI and HPC market. Therefore, the addressable market would be encompassed within the figures provided for the High-Performance Computing (HPC) and AI Data Centers.
AI Analysis | Feedback
Applied Digital (APLD) is anticipated to drive future revenue growth over the next 2-3 years through several key initiatives:
- Expansion of AI/High-Performance Computing (HPC) Data Center Infrastructure: Applied Digital is rapidly expanding its data center capacity tailored for AI and HPC workloads. This includes the full operationalization of its Polaris Forge 1 campus, which is fully leased for 400 MW, and the ongoing construction and scaling of Polaris Forge 2, designed to reach one gigawatt in capacity. The Ellendale HPC campus is also progressing with plans for substantial expansion.
- Growth in Cloud Services and GPU Cluster Deployment: The company's cloud services business is a significant driver, with revenue growth primarily from cloud services contracts. Applied Digital has deployment plans for additional GPU clusters in the second half of fiscal year 2025, supported by amended lease financing for GPUs, which is expected to fuel continued expansion.
- Long-Term Lease Agreements with Hyperscalers: Securing and expanding long-term lease agreements with major technology companies, particularly hyperscalers, is a critical revenue driver. A significant example is the expanded AI computing lease agreement with CoreWeave, which brings the total contracted revenue to approximately $11 billion over 15 years for 400 megawatts of capacity at its Polaris Forge 1 campus. The company is also actively negotiating with additional investment-grade hyperscalers.
- Revenue from Tenant Fit-Out Services: Applied Digital has been generating substantial revenue from tenant fit-out services associated with its HPC hosting business. This work involves installation and customization to prepare data centers for customer use, and it is expected to contribute significantly to revenue as new facilities come online and customers are onboarded.
- Monetization of Extensive Development Pipeline: The company has an active development pipeline of 4 gigawatts and is exploring monetizing over 1.4 gigawatts of pipeline offers, which represents substantial growth potential through new site expansions and lease negotiations. Applied Digital aims to achieve $1 billion in annual net operating income within the next three to five years.
AI Analysis | Feedback
Applied Digital (APLD) Capital Allocation Decisions (Last 3-5 Years)
Share Repurchases
- In November 2024, Applied Digital completed a $450 million convertible senior note offering, which included $84 million allocated for share repurchases. These repurchases included $31.3 million in privately negotiated transactions and a $52.7 million prepaid forward stock repurchase.
Share Issuance
- Stockholders approved an increase in the authorized common stock to 600,000,000 shares 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 in November 2025.
- In September 2024, Applied Digital entered into definitive agreements for a $160 million private placement financing, issuing 49,382,720 shares of common stock at $3.24 per share.
Inbound Investments
- In April 2025, Applied Digital announced a strategic partnership with Macquarie Asset Management, which will invest up to $5 billion to support the development of Applied Digital's next-generation data centers, with an immediate commitment of $900 million.
- In April 2025, the company secured a $375 million financing arrangement with Sumitomo Mitsui Banking Corporation, a global leader in data center financing.
- In September 2024, the company received a $160 million private placement financing from a group of institutional and accredited investors, including NVIDIA and Related Companies.
Capital Expenditures
- Applied Digital reported capital expenditures of $154 million for Q4 2025.
- For fiscal Q1 2024, the purchase of property, equipment, and other assets was $32.6 million, primarily driven by the construction of HPC hosting data centers.
- The company aims to expand its data center capacity to over 2 gigawatts, with plans for 1.6 gigawatts of additional capacity by 2026-2027, and the initial development cost for one new campus is projected to be approximately $3 billion.
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Peer Comparisons for Applied Digital
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 14.75 |
| Mkt Cap | 4.9 |
| Rev LTM | 653 |
| Op Inc LTM | -133 |
| FCF LTM | -1,011 |
| FCF 3Y Avg | -587 |
| CFO LTM | -291 |
| CFO 3Y Avg | -144 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 71.1% |
| Rev Chg 3Y Avg | 85.3% |
| Rev Chg Q | 102.2% |
| QoQ Delta Rev Chg LTM | 19.4% |
| Op Mgn LTM | -39.4% |
| Op Mgn 3Y Avg | -32.3% |
| QoQ Delta Op Mgn LTM | 1.7% |
| CFO/Rev LTM | -71.2% |
| CFO/Rev 3Y Avg | -34.3% |
| FCF/Rev LTM | -138.8% |
| FCF/Rev 3Y Avg | -161.7% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 4.9 |
| P/S | 8.0 |
| P/EBIT | 5.4 |
| P/E | 6.4 |
| P/CFO | -7.8 |
| Total Yield | 3.5% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | -22.3% |
| D/E | 0.2 |
| Net D/E | 0.1 |
Segment Financials
Revenue by Segment| $ Mil | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|
| Single Segment | 9 | 0 | ||
| Total | 9 | 0 |
| $ Mil | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|
| Cloud Services Business (Discontinued operations) | 374 | 3 | ||
| High-Performance Compute (HPC) Hosting Business | 221 | 11 | ||
| Data Center Hosting Business | 145 | 224 | ||
| Other | 23 | 25 | ||
| Single Segment | 15 | |||
| Total | 763 | 264 | 15 |
Price Behavior
| Market Price | $25.72 | |
| Market Cap ($ Bil) | 6.6 | |
| Distance from 52W High | -31.9% | |
| 50 Days | 200 Days | |
| DMA Price | $29.05 | $16.21 |
| DMA Trend | up | up |
| Distance from DMA | -11.5% | 58.7% |
| 3M | 1YR | |
| Volatility | 102.3% | 128.6% |
| Downside Capture | 361.98 | 289.41 |
| Upside Capture | 336.63 | 359.40 |
| Correlation (SPY) | 28.7% | 32.8% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 4.31 | 1.64 | 1.92 | 2.63 | 2.13 | 2.32 |
| Up Beta | 6.58 | 3.13 | 1.52 | 3.41 | 1.07 | 1.51 |
| Down Beta | 8.57 | -1.72 | -0.55 | 2.40 | 2.10 | 2.45 |
| Up Capture | 45% | 322% | 555% | 751% | 2004% | 35740% |
| Bmk +ve Days | 12 | 25 | 38 | 73 | 141 | 426 |
| Stock +ve Days | 7 | 22 | 36 | 62 | 125 | 371 |
| Down Capture | 413% | 234% | 220% | 102% | 159% | 111% |
| Bmk -ve Days | 7 | 16 | 24 | 52 | 107 | 323 |
| Stock -ve Days | 12 | 19 | 26 | 62 | 121 | 370 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Comparison of APLD With Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| APLD | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 219.7% | 26.7% | 19.2% | 71.9% | 8.9% | 6.0% | -10.4% |
| Annualized Volatility | 128.2% | 27.6% | 19.5% | 19.3% | 15.3% | 17.1% | 35.0% |
| Sharpe Ratio | 1.50 | 0.84 | 0.78 | 2.69 | 0.36 | 0.18 | -0.12 |
| Correlation With Other Assets | 39.5% | 32.6% | 11.8% | 16.3% | 9.3% | 25.7% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
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Based On 5-Year Data
| Comparison of APLD With Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| APLD | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 303.7% | 19.0% | 14.9% | 18.7% | 11.7% | 4.8% | 32.6% |
| Annualized Volatility | 229.8% | 24.7% | 17.1% | 15.5% | 18.7% | 18.9% | 48.7% |
| Sharpe Ratio | 1.46 | 0.69 | 0.70 | 0.97 | 0.51 | 0.17 | 0.59 |
| Correlation With Other Assets | 17.5% | 17.8% | 6.7% | 7.7% | 12.7% | 11.6% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Comparison of APLD With Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| APLD | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 104.7% | 22.3% | 14.7% | 14.9% | 6.9% | 5.2% | 69.2% |
| Annualized Volatility | 343.7% | 24.2% | 18.0% | 14.8% | 17.6% | 20.8% | 55.8% |
| Sharpe Ratio | 1.63 | 0.84 | 0.70 | 0.83 | 0.31 | 0.22 | 0.90 |
| Correlation With Other Assets | 10.0% | 10.4% | 5.3% | 2.7% | 11.0% | 8.4% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
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 |
| 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% |
| 1/16/2024 | -26.2% | -35.0% | -40.6% |
| 10/10/2023 | 12.6% | 14.1% | 7.7% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 7 | 9 | 8 |
| # Negative | 5 | 3 | 4 |
| Median Positive | 13.7% | 21.8% | 34.5% |
| Median Negative | -13.4% | -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 |
|---|---|---|
| 8312025 | 10092025 | 10-Q 8/31/2025 |
| 5312025 | 7302025 | 10-K 5/31/2025 |
| 2282025 | 4142025 | 10-Q 2/28/2025 |
| 11302024 | 1142025 | 10-Q 11/30/2024 |
| 8312024 | 10092024 | 10-Q 8/31/2024 |
| 5312024 | 8302024 | 10-K 5/31/2024 |
| 2292024 | 4112024 | 10-Q 2/29/2024 |
| 11302023 | 1162024 | 10-Q 11/30/2023 |
| 8312023 | 10102023 | 10-Q 8/31/2023 |
| 5312023 | 8022023 | 10-K 5/31/2023 |
| 2282023 | 4062023 | 10-Q 2/28/2023 |
| 11302022 | 1102023 | 10-Q 11/30/2022 |
| 8312022 | 10122022 | 10-Q 8/31/2022 |
| 5312022 | 8292022 | 10-K 5/31/2022 |
| 2282022 | 5132022 | 10-Q 2/28/2022 |
| 8312021 | 1062022 | S-1/A 8/31/2021 |
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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