Applied Digital Corp is a U... Show more
Applied Digital has repositioned itself from cryptocurrency-mining hosting into the fast-growing market for AI-focused data center infrastructure. The company now operates two segments: a legacy Data Center Hosting business (about 286 megawatts, or MW, of Bitcoin-mining capacity) and a High-Performance Compute Hosting business that designs, builds, and operates large-scale facilities for artificial intelligence workloads. This pivot places APLD squarely at the intersection of surging demand for high-density compute and a structural shortage of power-ready sites.
The company's competitive edge rests on its inland locations in the Dakotas, where abundant low-cost energy, a cool climate providing more than 200 days of natural cooling annually, and direct-to-chip liquid cooling support a targeted power usage effectiveness (PUE) of 1.18 with near-zero water use. These design choices appeal to hyperscalers seeking efficient, sustainable capacity. Management has also cited a repeatable financing stack — including a $5 billion preferred-equity facility with Macquarie Asset Management — intended to limit shareholder dilution while funding construction.
Structurally, APLD competes against both large operators such as Equinix and peers like Core Scientific and Riot Platforms that are redirecting energy-intensive operations toward AI workloads. Its deeply contracted pipeline is a key differentiator, but a concentrated customer base and heavy capital requirements remain structural risks to monitor over the medium term.
Several forward-looking developments could shape investor sentiment. First, the phased energization of campuses such as Polaris Forge 2 and Delta Forge 1 is expected to convert signed leases into recognized rental revenue, shifting the mix away from low-margin tenant fit-out work toward higher-margin recurring rent. Management is targeting a $1 billion net operating income (NOI, a measure of property-level profitability) run rate within roughly a year — an ambitious milestone that would validate the model's economics.
Second, expansion leasing is an active catalyst. The company is marketing roughly 1.7 GW of additional capacity and negotiating about 250 MW of expansion leases that could add more than $6 billion in contracted revenue at higher rates. Third, the ChronoScale cloud platform — in which Applied Digital retains a 96% stake following its separation — has announced a 50 MW AI deployment with Microsoft and is targeting $1 billion of annual recurring revenue (ARR) in 2027.
On the analyst front, sentiment has become more constructive but remains divided. The consensus rating on APLD is a Strong Buy, with average 12-month price targets clustering in the low-to-mid $60s, according to aggregators such as S&P Global Market Intelligence. However, the range is unusually wide — from around $22 to above $90 — and includes both bullish initiations (for example, UBS at a Buy rating) and more measured stances such as Morgan Stanley's Equal-Weight rating, reflecting differing views on execution and valuation.
Applied Digital's trajectory is closely tied to the broader AI infrastructure buildout, with hyperscalers expected to direct hundreds of billions of dollars annually toward data center capacity. Persistent power constraints — with some projections of U.S. data center power shortages exceeding 45 GW by 2030 — underpin demand for APLD's power-secured, inland sites. A long-term power purchase agreement for an approximately 1,200 MW natural gas facility in North Dakota further supports this positioning.
Macro conditions cut both ways. Elevated interest rates raise the cost of the company's substantial debt and construction financing, while tighter credit conditions could pressure expansion economics. Inflation affects construction and equipment costs, and cooling AI-investment sentiment could slow new lease signings. Conversely, lower rates would improve refinancing economics and support the valuation of long-duration, contracted cash flows. Geopolitical and regulatory factors — including energy permitting and data center oversight — also bear watching as catalysts that could either accelerate or constrain delivery timelines.
Tickeron's Trend Prediction Engine is an AI-powered forecasting tool designed to help traders assess whether a stock, ETF, or other asset may trend bullish, bearish, or sideways over the coming week or month. It is built to help users spot developing trends, evaluate possible breakouts or reversals, and explore predictions across a wide range of tradable instruments. The product includes searchable prediction categories, historical context, and alert-oriented functionality to support more informed timing decisions. For investors tracking names like APLD, tools of this kind can complement fundamental analysis with a data-driven view of short-term trend direction.
Looking toward calendar 2026 and beyond, Applied Digital's outlook hinges on converting its contracted backlog into stabilized, cash-generating assets. With fiscal 2027 revenue consensus pointing to roughly 50% growth, the key question is whether new capacity comes online on schedule and at the targeted 85–88% site-level NOI margins. Successful delivery could support refinancing at lower borrowing costs and, according to some analysts, a potential real estate investment trust (REIT) conversion that could improve tax efficiency.
Long-term themes include continued hyperscaler demand for power-dense sites, customer diversification beyond the current anchor tenants, and optionality from international expansion such as the Finland capacity option (with initial 100 MW potentially arriving in 2028). Margin sustainability will depend on managing construction and equipment costs, while competitive threats from well-capitalized rivals could pressure pricing. Capital allocation priorities — balancing debt, preferred equity, and organic reinvestment — will be central to whether the company can fund growth without excessive dilution. Analysts' widely dispersed price targets underscore that the market has not yet fully resolved these execution and valuation questions, making delivery milestones the clearest signposts for the stock's future outlook.
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A.I.dvisor indicates that over the last year, APLD has been closely correlated with CIFR. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if APLD jumps, then CIFR could also see price increases.
| Ticker / NAME | Correlation To APLD | 1D Price Change % | ||
|---|---|---|---|---|
| APLD | 100% | -0.24% | ||
| CIFR - APLD | 78% Closely correlated | -4.11% | ||
| KEEL - APLD | 77% Closely correlated | -2.55% | ||
| WYFI - APLD | 69% Closely correlated | -3.76% | ||
| BBAI - APLD | 55% Loosely correlated | -5.31% | ||
| PONY - APLD | 51% Loosely correlated | -5.15% | ||
More | ||||
| Ticker / NAME | Correlation To APLD | 1D Price Change % |
|---|---|---|
| APLD | 100% | -0.24% |
| APLD (4 stocks) | 93% Closely correlated | +12.17% |
| Technology Services (396 stocks) | 12% Poorly correlated | -1.00% |
| Information Technology Services (79 stocks) | -1% Poorly correlated | +0.12% |
Industry InformationTechnologyServices
The RSI Indicator for APLD moved out of oversold territory on November 06, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 23 similar instances when the indicator left oversold territory. In 22 of the 23 cases the stock moved higher. This puts the odds of a move higher at 90%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 58 of 66 cases where APLD's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 88%.
Following a +18.00% 3-day Advance, the price is estimated to grow further. Considering data from situations where APLD advanced for three days, in 251 of 289 cases, the price rose further within the following month. The odds of a continued upward trend are 87%.
APLD may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Momentum Indicator moved below the 0 level on October 29, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on APLD as a result. In 78 of 89 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 88%.
The Moving Average Convergence Divergence Histogram (MACD) for APLD turned negative on November 02, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 48 similar instances when the indicator turned negative. In 41 of the 48 cases the stock turned lower in the days that followed. This puts the odds of success at 85%.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where APLD declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 89%.
The Aroon Indicator for APLD entered a downward trend on November 10, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The Tickeron Valuation Rating of 52 (best 1 - 100 worst) indicates that the company is fair valued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (4.274) is normal, around the industry mean (2.898). P/E Ratio (0.000) is within average values for comparable stocks, (18.492). Projected Growth (PEG Ratio) (0.000) is also within normal values, averaging (2.284). Dividend Yield (0.000) settles around the average of (0.224) among similar stocks. P/S Ratio (10.977) is also within normal values, averaging (139.965).
The Tickeron Price Growth Rating for this company is 88 (best 1 - 100 worst), indicating slightly worse than average price growth. APLD’s price grows at a lower rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron SMR rating for this company is 95 (best 1 - 100 worst), indicating weak sales and an unprofitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron PE Growth Rating for this company is 100 (best 1 - 100 worst), pointing to worse than average earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Profit vs. Risk Rating rating for this company is 100 (best 1 - 100 worst), indicating that the returns do not compensate for the risks. APLD’s unstable profits reported over time resulted in significant Drawdowns within these last five years. A stable profit reduces stock drawdown and volatility. The average Profit vs. Risk Rating rating for the industry is 93, placing this stock worse than average.