APLD — Applied Digital Corporation

Founder-Led

Stock analysis, trade plans, and proprietary indicators by Trend Edge.

Trend Edge Setup Score

Trend Edge rates APLD Bullish with a Setup Score of 48, net conviction 40, actionability 58. How the Setup Score works →

Total Setup Score48
Directional BiasBullish
Net Conviction40
Actionability58 (in range)

Key signals behind this score

About Applied Digital Corporation

Applied Digital Corporation designs, develops, and operates digital infrastructure solutions to high-performance computing (HPC) and artificial intelligence industries in North America. It operates through: Data Center Hosting, and HPC Hosting Business. The company provides energized infrastructure services to crypto mining customers; and cloud services to customers, such as AI and machine learning developers. Read full Trend Edge analysis →

Trend Edge Proprietary Indicators

Key Metrics

Current Price$18.05
Market Cap$6.17B
Float261.4M
Shares Outstanding302.4M
P/E (Forward)526.32
Price/Sales (TTM)7.07
vs. Analyst Target+256.0% to analyst PT
Profit Margin-53.03%
Operating Margin (TTM)-18.25%
Revenue (TTM)$872M
Dividend RateNone
Analyst Target Price$64.27 (15 analysts)

Financial History

Annual Revenue & Earnings History

YearRevenueNet IncomeGross ProfitEBITDA
2021 N/A -$568,000 -$1,000 -$331,000
2022 $8.5M -$23.5M -$13.3M -$20.7M
2023 $55.4M -$45.6M $11.0M -$36.8M
2024 $137M -$149M $30.0M $23.7M
2025 $216M -$231M $22.7M -$77.5M
2026 $611M -$244M $158M -$84.6M

Recent Quarterly Revenue & Net Income

QuarterRevenueNet Income
Nov 2025 $127M -$17.5M
Feb 2026 $127M -$99.3M
May 2026 $259M -$110M
Aug 2026 $342M -$237M

Ownership & Float

Insider Ownership7.6%
Institutional Ownership73.6%
Short Float21.7%
% of All Funds Holding6.39%
Number of Funds Holding562

Current Moving Averages

Trend Edge tracks near-term, medium-term, cyclical, and secular moving averages across weekly and monthly timeframes to identify trend structure at every horizon.

TimeframeSMAValueTrend Context
Weekly10-Week SMA$25.80Near-term / short-term trend
Weekly40-Week SMA$31.63Medium-term trend
Weekly80-Week SMA$24.86Cyclical trend (business cycle)
Weekly200-Week SMA$13.33Secular trend (multi-year)
Monthly10-Month SMA$29.89Near-term monthly trend
Monthly20-Month SMA$23.22Medium-term monthly trend
Monthly40-Month SMA$14.63Secular monthly trend

Volume Shelves — Support & Resistance

Trend Edge identifies volume shelves: price zones where historically elevated trading volume creates structural support or resistance. A volume shelf forms when a disproportionate share of cumulative volume was transacted at a specific price level, making it a high-conviction anchor for future price reactions.

Price LevelTypeVolume RatioAge
$10.00 support 1.13x 14 months ago
$4.70 support 1.65x 16 months ago
$3.60 support 3.61x 24 months ago

Historical Earnings Reactions (19 events)

TimeframeAvg ReturnMedianWin RateBestWorst
Gap 3.60% 0.65% 57.89% 28.30% -14.34%
1 Day 4.73% -1.99% 42.11% 100.00% -35.94%
1 Week 14.45% 8.46% 68.42% 97.78% -24.02%
2 Weeks 22.14% 12.68% 61.11% 168.33% -16.45%
1 Month 17.69% 14.68% 66.67% 93.40% -42.78%

Next earnings: December 26, 2026 (69 days away)

Seasonality & Day-of-Week Patterns

Monthly Seasonality

Insufficient historical data for monthly seasonality analysis (requires 7+ years of data).

Day-of-Week Tendencies

DayAvg ReturnWin RateSamples
Monday 0.73% 55.2% 210
Tuesday 0.78% 49.4% 233
Wednesday 0.41% 51.1% 231
Thursday 0.35% 44.7% 226
Friday 0.12% 41.9% 227

Top Institutional Holders

Institutional holder breakdown coming soon.

Total institutional ownership: 73.6%

Insider Transactions — Smart Summary

Total insider ownership: 7.6%

Founder-led management: Wes Cummins (Chairman and Chief Executive Officer), Jason Zhang (Co-Founder and Chief Strategy Officer)

12-Month Insider Activity Summary

Total Filings16
Net Value-$10.8M
Net Shares Change-730,459
% of Float-0.3%
C-Suite Filings2
Clusters Detected2

Key Insiders

NameTitleNet ValueFilingsActivity
Nottenburg Richard N -$5.0M 4 4 sell
Mohmand Mohammad Saidal LaVanway Chief Financial Officer -$4.8M 1 1 sell
HASTINGS CHUCK -$4.4M 2 2 sell
Benson Ella G. -$1.5M 1 1 sell
Lee Rachel H. -$803,871.6 1 1 sell
MILLER DOUGLAS S -$349,800 1 1 sell

Transaction Clusters

PeriodFilingsInsidersNet ValueSeniority
2025-10-28 – 2025-10-31 6 5 -$11.4M 1 C-suite
2026-01-14 – 2026-01-16 3 3 -$7.2M 1 C-suite

Significant Filings

DateInsiderTitleNet ValuePrice After
2026-10-15 Nottenburg Richard N -$682,500 Transaction at $21.84, now -17.4%
2026-08-06 Nottenburg Richard N -$2.3M Transaction at $31.15, now -42.1%
2026-04-30 Nottenburg Richard N -$832,375 Transaction at $33.30, now -45.8%
2025-10-28 Mohmand Mohammad Saidal LaVanway Chief Financial Officer -$4.8M Transaction at $34.73, now -48.0%
2026-04-28 MILLER DOUGLAS S -$349,800 Transaction at $34.98, now -48.4%
2026-01-30 HASTINGS CHUCK -$1.8M Transaction at $38.57, now -53.2%

View full insider transaction history on Trend Edge →

AI Consult Analysis

Trend Edge's AI Consult feature delivers a comprehensive, multi-layer trade plan for Applied Digital Corporation (APLD) powered by Claude Opus — Anthropic's most capable AI model. The analysis covers five layers: technical analysis (near-term, medium-term, cyclical, and secular trend, momentum, volume shelf support and resistance, breakout and breakdown signals), qualitative analysis (business model, competitive moat, sector dynamics), insider sentiment (buy and sell signals from executive and director transactions), share stats analysis (institutional accumulation, fund positioning, short float squeeze potential), and fundamental analysis (valuation, revenue growth, profit margin, earnings quality).

AI Consult synthesizes all five layers into a single bullish or bearish thesis with explicit entry, exit, stop loss, and take profit levels — giving you a complete, AI-powered trade plan with defined risk/reward. Whether you are building a long position, initiating a short, or looking for a reversal setup, AI Consult identifies the highest-probability signal from the current trend.

Get the full AI Consult analysis for APLD on Trend Edge →