Applied Digital (APLD) Capital Expenditures (2021 - 2026)
Applied Digital's Capital Expenditures came in at $2.07 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 730.2% from $249.91 million a year earlier and up 60.9% from the prior quarter.
Applied Digital (APLD) Capital Expenditures (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Applied Digital reported Capital Expenditures of $4.69 billion, up 435.0% year-over-year; for FY2026 (ended May 31, 2026), it came in at $2.87 billion, up 320.4% from FY2025.
- Capital Expenditures has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 974.6% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $681.6 million in FY2025 (+380.6%), $141.81 million in FY2024 (+8.0%), $131.28 million in FY2023 (+138.8%) and $54.97 million in FY2022.
- The fiscal Q1 2027 figure represents the highest quarterly Capital Expenditures in data going back to fiscal Q1 2022.
- Year-over-year, Capital Expenditures has increased for seven consecutive quarters, with growth averaging 410.3% over the last seven quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q1 2027 (growth of 730.2%), and the weakest in fiscal Q2 2024 (a decline of 65.7%).
- Business Quant data shows APLD's Capital Expenditures at $1.29 billion (Q4 2026), $775.21 million (Q3 2026) and $551.58 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 35.80 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 229.00 Mn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 49.96 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | 1.68 Bn |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | -5.66 Bn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 6.42 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | 18.80 Mn |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 37.44 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | 5.10 Mn |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | 2.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.07 Bn |
| May 31, 2026 | 1.29 Bn |
| Feb 28, 2026 | 775.21 Mn |
| Nov 30, 2025 | 551.58 Mn |
| Aug 31, 2025 | 249.91 Mn |
| May 31, 2025 | 198.26 Mn |
| Feb 28, 2025 | 257.49 Mn |
| Nov 30, 2024 | 171.05 Mn |
| Aug 31, 2024 | 54.80 Mn |
| May 31, 2024 | 57.37 Mn |
| Feb 29, 2024 | 38.61 Mn |
| Nov 30, 2023 | 13.24 Mn |
| Aug 31, 2023 | 32.59 Mn |
| May 31, 2023 | 35.06 Mn |
| Feb 28, 2023 | 25.91 Mn |
| Nov 30, 2022 | 38.63 Mn |
| Aug 31, 2022 | 31.67 Mn |
| May 31, 2022 | 26.79 Mn |
| Feb 28, 2022 | 17.87 Mn |
| Nov 30, 2021 | 9.33 Mn |
Applied Digital Capital Expenditures 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=capital-expenditures&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();