Applied Digital (APLD) Accumulated Expenses (2023 - 2026)
Applied Digital's Accumulated Expenses was $850.36 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 364.8% from $182.95 million a year earlier and up 55.0% from the prior quarter.
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Analysis
Applied Digital (APLD) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Accumulated Expenses at Applied Digital came in at $548.49 million.
- Accumulated Expenses shows a three-year compound annual growth rate of 280.5% (FY2023 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $30.12 million in FY2025 (+21.9%), $24.7 million in FY2024 (+148.0%) and $9.96 million in FY2023.
- The fiscal Q1 2027 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2023.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last six quarters, with growth averaging 282.9%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2026 (growth of 584.6%); the worst was fiscal Q3 2025 (a decline of 30.0%).
- Per Business Quant data, APLD's Accumulated Expenses in the three fiscal quarters before Q1 2027 was $548.49 million (Q4 2026), $376.99 million (Q3 2026) and $207.45 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 850.36 Mn |
| May 31, 2026 | 548.49 Mn |
| Feb 28, 2026 | 376.99 Mn |
| Nov 30, 2025 | 207.45 Mn |
| Aug 31, 2025 | 182.95 Mn |
| May 31, 2025 | 30.12 Mn |
| Feb 28, 2025 | 19.27 Mn |
| Nov 30, 2024 | 31.63 Mn |
| Aug 31, 2024 | 26.72 Mn |
| May 31, 2024 | 24.70 Mn |
| Feb 29, 2024 | 27.55 Mn |
| Nov 30, 2023 | 10.54 Mn |
| Aug 31, 2023 | 12.74 Mn |
| May 31, 2023 | 9.96 Mn |
API Access
Applied Digital Accumulated Expenses 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=accumulated-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();