Applied Digital Corporation research snapshot

APLD AI Stock Analysis

APLD AI stock analysis currently views Applied Digital as a high-risk AI and high-performance computing infrastructure developer that is moving from crypto data center hosting toward long-term hyperscaler leases. For the nine months ended February 28, 2026, revenue was $352.6 million versus $177.5 million a year earlier, while the latest quarter produced $126.6 million of revenue, $44.1 million of adjusted EBITDA, and a $100.9 million net loss attributable to common stockholders. By July 1, Applied Digital reported 175 MW of live capacity at Polaris Forge 1 and 400 MW contracted at that campus. At the July 10 close of $31.15, the stock was below both major moving averages. This APLD AI stock forecast uses scenarios rather than a precise price promise and is for informational use only, not investment advice.

Current price

$31.15 close on July 10, 2026

Market cap

$8.90B reported market cap, reconciled to $8.902B from $31.15 x 285.77M shares

AI score

47 / 100

Rating

AI data center growth option with signed long-term leases but negative GAAP earnings, heavy capex, debt, dilution, and customer concentration

Trend status

Below the 50-day and 200-day moving averages, with RSI at 32.90 and $29.90 to $30.60 as near-term support

Data cutoff (updated weekly)

July 12, 2026

Informational use only. This page is not investment advice.

Research quality check

information Richness
B-level information richness. Applied Digital has SEC filings, earnings releases, lease announcements, and daily market data, but the latest filed financial statements are from February 28, 2026 and the business mix is changing quickly after the Cloud Services separation.
bias Check
The main AI research bias is treating contracted lease value and the AI infrastructure narrative as realized earnings. This analysis separates signed or announced capacity from live revenue, and weighs construction execution, debt service, dilution, customer concentration, power availability, and CoreWeave exposure against the growth opportunity.
ai Confidence
High for reported revenue, losses, cash, debt, share count, segment data, lease announcements, and market-cap math. Medium for normalized earnings, technical support, future lease conversion, and valuation scenarios because GAAP earnings and free cash flow remain negative and post-quarter financing changes the capital structure.
investment Certainty
Low to medium-low. Applied Digital has real operating milestones and multi-year lease commitments, but the equity case depends on completing large projects, refinancing or servicing substantial debt, controlling dilution, and converting contracted capacity into durable free cash flow.

Quick verdict table

DimensionConclusionConfidence
Business qualityApplied Digital is paid to develop and operate power-intensive data centers, provide AI and HPC capacity, and host crypto customers. The go-forward core is more valuable than the legacy narrative, but reported economics are still in transition.Medium-high
MoatPower-ready sites, utility relationships, speed to service, closed-loop cooling, construction know-how, and long-term customer contracts can create local advantages. The moat is not yet proven at mature scale and is exposed to execution and financing.Medium
ManagementCo-founder, Chairman, and CEO Wes Cummins has repositioned the company toward AI factories, delivered 175 MW at Polaris Forge 1, and secured large leases. The test is whether project financing and capital allocation create per-share value without excessive dilution.Medium
Financial trendNine-month FY2026 revenue rose to $352.6M from $177.5M, and nine-month adjusted EBITDA reached $64.9M. GAAP net loss attributable to common stockholders was $138.5M, operating cash flow was negative $42.9M, and capex was $1.577B.High
ValuationAt $31.15, StockAnalysis reported 27.88x price to sales, 5.62x price to book, and 31.32x EV to sales. PE and price to free cash flow are not useful while earnings and free cash flow are negative, so the market is valuing future execution.High
Technical trendThe July 10 close was below the 200-day average of $32.55 and well below the 50-day average of $41.14. RSI at 32.90 is weak and near oversold territory, but beta of 5.68 and 26.02% short interest make reversals and breakdowns unusually sharp.Medium-high
Risk levelRisk is high because the company is funding multi-billion-dollar campuses with debt and equity while relying on a small set of major customers, construction milestones, power delivery, lease credit, and favorable capital markets.High
AI confidenceHistorical figures and announced milestones are well sourced, but any forward earnings bridge depends on assumptions about ready-for-service dates, lease economics, financing, and share count.Medium
Investment certaintyThe business may benefit from a long AI infrastructure cycle, but the stock is not a high-certainty compounder until live capacity produces recurring cash flow after interest, project costs, preferred claims, and dilution.Low to medium-low

APLD AI stock forecast

APLD AI Stock Forecast Scenarios

The APLD AI stock forecast uses a three-year scenario framework, not a fixed target. The mechanical model starts with a $0.36 annualized adjusted EPS proxy based on the latest $0.09 quarterly adjusted EPS, while GAAP EPS and free cash flow remain negative. Using 50%, 25%, and 0% annual growth assumptions with 40x, 30x, and 20x exit multiples produced model anchors of about $48.60, $21.10, and $7.20. The wider ranges below reflect construction, financing, lease, and dilution uncertainty.

Bullish case

$45 to $60

More likely if Polaris Forge 1 reaches contracted capacity on schedule, new campuses are financed on acceptable terms, high-quality tenants pay as agreed, live AI capacity grows faster than share count, and adjusted earnings convert into positive operating cash flow.

Base case

$18 to $25

More likely if the company delivers additional capacity but construction and interest costs remain heavy, contracted revenue ramps unevenly, equity issuance continues, and the market values APLD on a cautious forward sales or adjusted earnings multiple.

Bearish case

$6 to $10

More likely if projects are delayed, tenant credit or lease terms weaken, financing becomes expensive or unavailable, power delivery fails, crypto hosting margins fall, or dilution and preferred claims absorb much of the operating upside.

APLD AI technical analysis

APLD AI Technical Analysis

APLD AI technical analysis is cautious as of the July 12, 2026 data cutoff. The July 10 close was $31.15, below the 200-day moving average at $32.55 and the 50-day moving average at $41.14. RSI was 32.90, average 20-day volume was 19.43 million shares, beta was 5.68, and the July 10 volume of 12.30 million shares was below that average. These are static reference levels, so confirm live data before acting.

LevelValueWhy it matters
Current price$31.15Latest verified closing price from July 10, 2026, used for market-cap and valuation references.
Near support$29.90 to $30.60The July 8 low was $29.93 and the July 10 low was $30.60, creating a nearby price-action reference zone.
Secondary support$27 to $28This zone is near the February 28 reference price and prior consolidation before the June and July decline.
Near resistance$32.55The 200-day moving average is the first trend-reclaim test above the July 10 close.
Major resistance$41.14The 50-day moving average is a much higher reclaim level and would require stronger momentum and participation.
Moving averages50-day $41.14, 200-day $32.55Price below both averages signals a weak trend until the stock reclaims them with confirmation.
MomentumRSI 32.90Momentum is weak and close to oversold territory, but an oversold reading does not establish a durable bottom.
Volume20-day average 19.43M sharesThe July 10 volume of about 12.30M shares was below average. A reclaim is more credible if volume expands above this reference.
VolatilityBeta 5.68 and short interest 26.02%High beta and significant short interest can amplify both rallies and declines around earnings, financing, and lease news.
InvalidationSustained close below $29.90A decisive break below the recent support zone weakens the near-term stabilization case and requires a fresh review of the operating thesis.

APLD AI trading strategy

APLD AI Trading Strategy Framework

This APLD AI trading strategy is a rules-based research framework, not personalized advice. It combines price action with ready-for-service milestones, lease credit, financing terms, cash burn, debt, share count, and customer concentration.

Trend-following setup

Wait for APLD to reclaim $32.55 and then show strength toward $41.14 with volume above the 20-day average. Confirm the move with a new operating milestone, stable lease economics, and no surprise equity or debt financing.

A failed reclaim of $32.55 or a close below $29.90 weakens the setup. Do not treat a short squeeze as evidence that project economics improved.

Mean-reversion setup

If APLD holds the $29.90 to $30.60 zone, compare the price with live capacity, next-quarter revenue recognition, net debt, interest cost, dilution, and the timing of the next campus before assuming the selloff created value.

Do not average down solely because RSI is near oversold. A lower price can reflect higher financing risk, weaker tenant credit, or delayed construction rather than a safer entry.

Fundamental monitor

Track the expected July 29, 2026 earnings update, live megawatts, revenue by Data Center Hosting and HPC Hosting, adjusted EBITDA, operating cash flow, capex, total debt, interest expense, preferred claims, common shares, and CoreWeave or hyperscaler lease updates.

Reassess the thesis if project debt rises faster than operating capacity, customer concentration increases, lease guarantees weaken, dilution accelerates, or positive adjusted earnings do not become positive cash flow.

Investment research summary

Four-master Research Compression

Business essence

Customers pay Applied Digital to turn scarce power, land, cooling, and construction capacity into operational data center capacity for AI, HPC, networking, and crypto workloads. The economic product is reliable powered capacity delivered on schedule.

Moat

The potential moat is local and operational: power access, utility relationships, ready sites, cooling design, construction repetition, and customer contracts. Long-term leases can create switching costs after a facility is live, but they do not remove counterparty or refinancing risk.

Munger risk inversion

The thesis fails if Applied Digital cannot finish campuses on time, if power or equipment delays prevent revenue recognition, if tenants renegotiate or fail, if debt service outruns cash generation, or if equity issuance transfers the value of the buildout away from common shareholders.

Management

Wes Cummins is a co-founder, Chairman, and CEO. His major decisions include shifting the platform toward AI factories, signing long-term hyperscaler leases, separating the Cloud Services business, and financing construction with secured debt, preferred capital, and equity. The capital-allocation record is still short.

Industry trend

AI training and inference demand is creating a power and data center capacity shortage, which supports the industry backdrop. The key question is whether Applied Digital can capture that trend with acceptable project returns after electricity, construction, interest, preferred claims, and dilution.

Valuation and margin of safety

At $31.15, the stock traded at about 27.88x sales and 5.62x book value while PE and free-cash-flow multiples were not meaningful. The price already assumes substantial future execution, so the margin of safety depends on delivered capacity and cash flow rather than current earnings.

Source-backed data

APLD Data Table

Every metric below includes a source and last verification date.

MetricValueSourceLast verified
July 10 closing price and market data$31.15 close, 285.77M shares, $8.90B reported market cap, 50-day $41.14, 200-day $32.55, RSI 32.90StockAnalysis and Macrotrends APLD market dataJuly 12, 2026
Market-cap cross-check$31.15 x 285.77M = $8.902B versus $8.90B reported, 0.02% varianceStockAnalysis and Pineify financial rigor calculationJuly 12, 2026
Q3 FY2026 revenue and adjusted EBITDA$126.6M revenue, up 139% year over year, and $44.1M adjusted EBITDA for the quarter ended February 28, 2026Applied Digital Q3 FY2026 earnings releaseJuly 12, 2026
Nine-month FY2026 operating trend$352.6M total revenue, $138.5M net loss attributable to common stockholders, $64.9M adjusted EBITDAApplied Digital Q3 FY2026 Form 10-QJuly 12, 2026
Cash, debt, and shares at February 28, 2026$1.730B cash and cash equivalents, $2.693B current and long-term debt, 285.38M common shares outstanding; cash cross-check variance versus StockAnalysis was 0.01%Applied Digital Q3 FY2026 Form 10-Q and StockAnalysisJuly 12, 2026
Nine-month FY2026 cash investmentNegative $42.9M operating cash flow, negative $1.594B investing cash flow, and $1.577B purchases of property and equipment and other assetsApplied Digital Q3 FY2026 Form 10-QJuly 12, 2026
FY2025 revenue and net loss$144.2M revenue and $233.7M net loss for the year ended May 31, 2025Applied Digital FY2025 Form 10-K and MacrotrendsJuly 12, 2026
Contracted AI Factory capacity1,200 MW of critical IT load across four campuses and approximately $31B of baseline contracted lease revenue as of May 20, 2026Applied Digital Polaris Forge 3 lease releaseJuly 12, 2026
Live Polaris Forge 1 capacity175 MW live at the campus and 400 MW contracted at full buildout as of July 1, 2026Applied Digital Building 2 delivery releaseJuly 12, 2026
Recent financing commitments$1.59B of 7.000% senior secured notes for ELN-04 and a revolving facility with up to $550M of capacityApplied Digital June 2026 financing releasesJuly 12, 2026
Valuation and free cash flow references27.88x price to sales, 5.62x price to book, negative $1.81B trailing free cash flow, and no meaningful PE ratioStockAnalysis APLD statisticsJuly 12, 2026

Frequently Asked Questions

This APLD AI stock analysis page is an informational tool, not investment advice, a solicitation, or a personalized recommendation. Forecast ranges are scenarios based on available data and explicit assumptions, and they can be wrong. Prices, technical levels, filings, lease terms, financing, and share counts change, so verify current information before making any decision.