Not logged in? You're viewing the Free tier. Join for free or log in to access your membership content.
Disclaimer: This content is for informational and educational purposes only and should not be construed as financial or investment advice. Always do your own research and consult a licensed financial advisor before making investment decisions.
Disclosure: The author holds a long position in APLD.
← Back to Free Index

APLD

Analysis as of: 2026-03-14
Applied Digital Corporation
Applied Digital designs, builds, finances, and operates power-dense data center campuses and related infrastructure for AI, HPC, cloud, networking, and blockchain workloads in North America.
ai cloud crypto energy hardware
Jump to: SummaryAnalysisOpportunityRiskTrendsLE StructureThird Party Analyst Consensus

Summary

Contracted Megawatts, Financing Still Decides
The upside is real because scarce powered AI capacity can become long-duration revenue quickly once campuses go live. The discipline is that almost every step in that value chain still runs through financing and power delivery.

Analysis

Thesis
Applied Digital is a levered way to own scarce AI campus capacity: if it keeps converting signed megawatts into live service while reducing financing friction, revenue can scale non-linearly from contracted leases, new campuses, and higher-value power and trust layers, though the upside is capped by power delivery and external capital.
Last Economy Alignment
It sells scarce powered capacity, not human cognition, so AI demand expands its market. The score is capped by dependence on cheap capital, delivered power, and a few large customers.
Upgrade to Allocator to also access: Thesis Critique

Opportunity Outlook

Average Implied 5-Year Multiple
2.7x (from 5 most recent analyses)
Reasoning
If existing North Dakota leases fully convert into recurring service, Delta Forge gets leased and energized, and management adds a lighter-capital expansion path, the company can outgrow its current scale without needing software-like economics. I assign a premium to mature colocation landlords because AI capacity remains scarce, but a discount to compute-native winners because financing and power still gate growth.
Upgrade to Allocator to also access: Simplified Opportunity Explanation

Risk Assessment

Overall Risk Summary
The key risk stack is simple: APLD must keep access to cheap enough capital, convert escrowed and contracted projects into live capacity on time, and avoid becoming just a smaller intermediary between hyperscalers and power. Power delivery, customer concentration, and balance-sheet structure matter more than software disruption.
Upgrade to Allocator to also access: Tech Maturity Risk Score, Adoption Timing Risk Score, Moat Strength Risk Score, Capital Needs Risk Score, Regulatory Risk Score, Execution Risk Score, Concentration Risk Score, Unit Economics Risk Score, Valuation Risk Score, Macro Sensitivity Risk Score

Last Economy Structure

AI Industrial Score
0.32
They control AI-ready campuses in power-advantaged markets, so more AI spending can flow through their sites as rent and services. But they do not control the deepest bottlenecks, so bigger landlords, self-build customers, or delayed power can cap how much of that upside they keep.
Upgrade to Reader to also access: Score Decomposition, Confidence Level
Upgrade to Allocator to also access: Obsolescence Vectors, Pricing Fragility
Upgrade to Reader to also access: Constraint Benefit Score, Obsolescence Risk Score

Third Party Analyst Consensus

12-Month Price Target
$37.00
Upgrade to Reader to also access: Bull Case, Base Case, Bear Case