Applied Digital (APLD) Assets (2021 - 2026)
Applied Digital (APLD) recorded Assets of $11.71 billion in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 388.0% from $2.4 billion a year earlier and up 17.9% from the prior quarter.
Powered by 
Analysis
Applied Digital (APLD) Assets (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Applied Digital reported Assets of $9.93 billion, up 431.0% from FY2025.
- Annual Assets has increased for five straight fiscal years, with a five-year compound annual growth rate of 266.3% (FY2021 to FY2026).
- Across earlier fiscal years, Assets came in at $1.87 billion in FY2025 (+145.1%), $762.87 million in FY2024 (+189.0%), $263.96 million in FY2023 (+120.0%) and $119.98 million in FY2022 (+697.1%).
- The fiscal Q1 2027 figure is the highest quarterly Assets in data going back to fiscal Q4 2021.
- On a year-over-year basis, Assets has increased for 15 consecutive quarters, with growth averaging 251.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Assets ranged from 120.0% (fiscal Q4 2023) to 697.1% (fiscal Q4 2022).
- Per Business Quant, the preceding three fiscal quarters came in at $9.93 billion (Q4 2026), $6.25 billion (Q3 2026) and $5.23 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 758.38 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 152.10 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 6.47 Bn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 41.08 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 27.96 Bn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 77.07 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 1.80 Bn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 5.07 Bn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 8.00 Bn |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | 11.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 11.71 Bn |
| May 31, 2026 | 9.93 Bn |
| Feb 28, 2026 | 6.25 Bn |
| Nov 30, 2025 | 5.23 Bn |
| Aug 31, 2025 | 2.40 Bn |
| May 31, 2025 | 1.87 Bn |
| Feb 28, 2025 | 1.71 Bn |
| Nov 30, 2024 | 1.54 Bn |
| Aug 31, 2024 | 937.73 Mn |
| May 31, 2024 | 762.87 Mn |
| Feb 29, 2024 | 643.17 Mn |
| Nov 30, 2023 | 480.65 Mn |
| Aug 31, 2023 | 349.15 Mn |
| May 31, 2023 | 263.96 Mn |
| Feb 28, 2023 | 207.61 Mn |
| Nov 30, 2022 | 167.44 Mn |
| Aug 31, 2022 | 145.92 Mn |
| May 31, 2022 | 119.98 Mn |
| Feb 28, 2022 | 63.49 Mn |
| May 31, 2021 | 15.05 Mn |
API Access
Applied Digital Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=assets&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "APLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();