APLD

Applied Digital Corporation

Technology·Mid Cap

Applied Digital builds and operates AI-optimized data centers with hyperscaler lease agreements, including a 15-year, 200 MW deal with an investment-grade tenant. With revenue growing 139% year-over-year in fiscal Q3 2026, APLD has become one of the most actively traded pure-play AI data center stocks.

Applied Digital is the mid-cap AI data center contract operator — its hyperscaler lease pipeline and 139% revenue growth make APLD a high-velocity expression of AI infrastructure demand. Traders compare it with TeraWulf and Nebius to gauge which part of the AI data center value chain is leading.

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Why APLD deserves a deeper read

What drives APLD as an AI data center trade

Applied Digital's business model is contract-first: it signs long-term leases with hyperscalers and investment-grade tenants before building or expanding data center capacity, which reduces the speculative build risk that has burned other infrastructure players in prior cycles. The 15-year, 200 MW lease at Polaris Forge 2 announced in 2026 represents roughly $2-3 billion in contracted future revenue — enough to fund the next round of expansion without requiring dilutive equity raises at unfavorable prices.

The 139% year-over-year revenue growth rate in Q3 FY2026 reflects the compounding effect of new capacity coming online into a market where GPU compute demand is still structurally undersupplied. Traders who track APLD are essentially betting on whether the company can continue to sign and execute new leases faster than the market is pricing in. Revenue guidance relative to analyst estimates is the single most important data point each quarter.

  • Contracted capacity pipeline (MW signed vs. delivered) is the leading indicator — track announcements of new leases and construction start dates.
  • Power procurement costs are the main margin risk — energy price spikes in the markets where APLD operates could compress the spread between build cost and lease revenue.
  • Compare APLD stock relative to WULF: WULF's nuclear power cost advantage may eventually attract the most premium hyperscaler deals, leaving APLD competing on execution speed and balance sheet.

Trading APLD: high-growth data center dynamics and peer comparison

APLD trades with a beta well above 1.5 relative to the broad market, driven by its small float and the narrative-intensity of the AI data center theme. On days when hyperscaler companies (Microsoft, Google, Meta) announce expanded AI capex plans, APLD often rallies sharply as traders extrapolate incremental data center demand. Those macro-catalyst moves are typically better suited to swing trading or options plays than to intraday scalping because they tend to trend through the session rather than revert.

The peer comparison between APLD and Nebius (NBIS) is a useful tool for traders trying to distinguish between a data center operator trade and a cloud AI platform trade. APLD is more like a REIT with 100%+ growth — it earns the spread between power and construction costs and the lease revenue it charges. NBIS is more like a hyperscaler-lite — it owns GPU capacity and earns cloud revenue from developers. When AI infrastructure enthusiasm is broad, both rise. When institutional investors get more selective, they tend to choose based on which model has more durable unit economics.

  • APLD's float is relatively small for its market cap — institutional accumulation or distribution can move the stock significantly over a 2-3 week window.
  • Short squeeze risk is elevated when short interest as a percentage of float exceeds 15% — combine that with a positive data center lease announcement for the highest-probability setup.
  • ATR-based entry timing works well: wait for a pullback of 1-1.5x the daily ATR from a recent breakout level rather than buying the initial spike.

Best comparison tickers for APLD

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Strategy pages worth comparing against APLD

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How Tradewink Reviews APLD

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Available Signal Types for APLD

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