Applied Digital Corp is a U... Show more
Applied Digital has repositioned itself from a crypto-mining hosting operator into a developer and operator of purpose-built AI data centers, which the company calls "AI Factories." Its business model is closer to commercial real estate than to semiconductors: the company designs, builds, and leases power-dense facilities to hyperscalers and AI cloud providers on long-term contracts that often run roughly 15 years.
This positioning gives Applied Digital an unusually high degree of demand visibility relative to many technology growth names. Anchor leases at its Polaris Forge campuses in North Dakota, including a 400-megawatt (MW) agreement with CoreWeave and a 200 MW lease with a U.S.-based investment-grade hyperscaler, lock in billions of dollars of future base rent. Management has articulated a long-term target of reaching a roughly $1 billion net operating income (NOI) run rate within approximately five years as campuses ramp.
Competitively, the company's advantage lies in siting and speed. Its facilities leverage abundant, low-cost power in the Dakotas, with design targets of about 1.18 power usage effectiveness (PUE, a measure of data center energy efficiency) and near-zero water consumption. However, Applied Digital competes against well-capitalized rivals including global operators like Equinix and other former bitcoin miners pivoting into high-performance computing, making execution, lease depth, and financing costs the key differentiators.
Several forward-looking catalysts could shape investor sentiment in the quarters ahead. The company's next earnings release, expected around October 8, 2026, will offer the first look at how additional capacity converted into recurring rent. Progress on the Polaris Forge 2 buildout and any exercise of the anchor tenant's right of first refusal on up to 800 MW of additional campus capacity represent potentially significant step-changes in contracted backlog.
Financing developments are equally important. The company has used senior secured notes, equipment financing, and preferred equity from partners such as Macquarie to fund construction while seeking to limit dilution. Any move that improves the credit profile behind its largest leases — such as assigning a lease to an investment-grade-rated tenant subsidiary — could lower future borrowing costs and directly address a core bear-case argument around counterparty credit.
On analyst ratings, the consensus stance has become meaningfully more optimistic over the past year. According to S&P Global data, 11 analysts rate the stock a consensus "Strong Buy," with an average 12-month price target around $74, while MarketBeat's broader poll of 17 analysts puts the average target near $68. Recent actions include target increases from firms such as Needham ($83), Lake Street ($90), and B. Riley ($75). Morgan Stanley, by contrast, initiated coverage with an Equal-Weight rating and a lower target near $37, citing sub-15% unlevered returns on invested capital — a reminder that the Street's enthusiasm is not unanimous. Elevated short interest, reported near 27% of the float, also means positive execution news could trigger amplified volatility in either direction.
Applied Digital's trajectory is tightly linked to the AI infrastructure spending cycle. Hyperscalers are deploying hundreds of billions of dollars annually toward compute capacity, and power-dense, GPU-ready data center space has become a primary bottleneck — a dynamic that favors developers with permitted, powered land and repeatable construction programs.
Macro conditions cut both ways. Higher interest rates raise the cost of the project debt and preferred equity that fund the buildout, directly pressuring projected returns and margins. Conversely, the shift toward energy-constrained jurisdictions works in the company's favor, as its North Dakota campuses sit near abundant wind power and face comparatively permissive siting and permitting environments even as some states impose new restrictions on data center construction.
Key sensitivities to monitor include the pace of hyperscaler capital expenditure, electricity pricing and grid interconnection timelines, and refinancing conditions. Because the business remains in a heavy construction phase, near-term GAAP losses may persist even as revenue scales rapidly, making the transition from one-time fit-out billings to recurring rent the most important financial inflection point.
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Looking specifically toward 2026 and beyond, Applied Digital's story hinges on a handful of structural themes. The first is capacity monetization: converting its multi-gigawatt development pipeline into operating facilities that generate base rent rather than one-time fit-out fees. Management's guidance toward a $1 billion NOI run rate underscores the scale of operating leverage embedded in the model.
Second is customer and credit diversification. Reducing reliance on a single dominant hyperscaler while migrating leases toward investment-grade counterparties could both de-risk the revenue base and lower financing costs over time.
Third is margin and cost structure evolution. As projects stabilize, improving PUE, favorable power economics, and lower borrowing costs could support margin expansion, though rising construction and financing costs remain an offsetting pressure.
Finally, capital allocation and dilution will be pivotal. The company's use of preferred equity preserves common ownership but introduces overhang and interest-like costs that investors will weigh against growth. Competitive threats from larger, lower-cost-of-capital operators and any cooling in hyperscaler spending represent the principal long-term risks. Consensus expectations suggest the market is pricing in successful execution of a large, contracted pipeline — making delivery, rather than demand, the defining variable for the company'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 70% 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% | +2.48% | ||
| CIFR - APLD | 70% Closely correlated | +5.71% | ||
| KEEL - APLD | 66% Closely correlated | +3.78% | ||
| WYFI - APLD | 64% Loosely correlated | +3.29% | ||
| PONY - APLD | 46% Loosely correlated | +0.08% | ||
| HIVE - APLD | 46% Loosely correlated | +1.34% | ||
More | ||||
| Ticker / NAME | Correlation To APLD | 1D Price Change % |
|---|---|---|
| APLD | 100% | +2.48% |
| APLD (3 stocks) | 95% Closely correlated | -5.85% |
| Technology Services (397 stocks) | 3% Poorly correlated | +1.90% |
| Information Technology Services (74 stocks) | -1% Poorly correlated | +1.35% |
The Moving Average Convergence Divergence (MACD) for APLD turned positive on September 08, 2026. Looking at past instances where APLD's MACD turned positive, the stock continued to rise in 42 of 44 cases over the following month. The odds of a continued upward trend are 90%.
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 57 of 65 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 +9.26% 3-day Advance, the price is estimated to grow further. Considering data from situations where APLD advanced for three days, in 263 of 296 cases, the price rose further within the following month. The odds of a continued upward trend are 89%.
The Momentum Indicator moved below the 0 level on September 09, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on APLD as a result. In 81 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 90%.
The 50-day moving average for APLD moved below the 200-day moving average on August 26, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
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 88%.
The Aroon Indicator for APLD entered a downward trend on September 11, 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 48 (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 (4.068) is normal, around the industry mean (7.416). P/E Ratio (0.000) is within average values for comparable stocks, (71.608). Projected Growth (PEG Ratio) (0.000) is also within normal values, averaging (1.396). APLD has a moderately low Dividend Yield (0.000) as compared to the industry average of (0.026). P/S Ratio (11.062) is also within normal values, averaging (147.834).
The Tickeron Seasonality Score of 48 (best 1 - 100 worst) indicates that the company is fair valued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
The Tickeron Price Growth Rating for this company is 62 (best 1 - 100 worst), indicating fairly steady 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 Profit vs. Risk Rating rating for this company is 63 (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 93, placing this stock slightly better than average.
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.