Applied Digital (APLD) Depreciation and Depletion (2021 - 2026)
Applied Digital's Depreciation and Depletion was $29.3 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 985.2% from $2.7 million a year earlier and up 40.9% from the prior quarter.
Applied Digital (APLD) Depreciation and Depletion (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Digital's Depreciation and Depletion was $75.1 million through Aug 31, 2026, up 541.9% year-over-year; for FY2026 (ended May 31, 2026), it came in at $48.5 million, up 288.0% from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of 765.3% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $12.5 million in FY2025 (-20.9%), $15.8 million in FY2024 (+305.1%), $3.9 million in FY2023 (+290.0%) and $1 million in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Depreciation and Depletion in data going back to fiscal Q4 2021.
- Compared with a year earlier, Depreciation and Depletion has increased for six straight quarters, with growth averaging 265.6% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q1 2027 (growth of 985.2%); the worst was fiscal Q3 2025 (a decline of 59.5%).
- Per Business Quant data, APLD's Depreciation and Depletion in the three fiscal quarters before Q1 2027 was $20.8 million (Q4 2026), $17.6 million (Q3 2026) and $7.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,964.86 Bn | 3,888.01 Bn | 60.48 Bn | 10.30 Bn |
| 2 | International Business Machines | 222.38 Bn | 173.19 Bn | 9.91 Bn | 533.00 Mn |
| 3 | Cloudflare | 105.62 Bn | 89.15 Bn | 499.52 Mn | 51.50 Mn |
| 4 | Equinix | 96.25 Bn | 84.81 Bn | 1.40 Bn | - |
| 5 | Nebius | 41.41 Bn | 14.84 Bn | 448.70 Mn | 253.80 Mn |
| 6 | CoreWeave | 33.73 Bn | 20.82 Bn | 1.70 Bn | 1.40 Bn |
| 7 | Verisign | 27.82 Bn | 25.04 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.15 Bn | 9.84 Bn | 651.35 Mn | 16.30 Mn |
| 9 | GoDaddy | 13.94 Bn | 9.52 Bn | 828.20 Mn | - |
| 10 | Applied Digital | 5.62 Bn | -2.57 Bn | 96.17 Mn | 29.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 29.30 Mn |
| May 31, 2026 | 20.80 Mn |
| Feb 28, 2026 | 17.60 Mn |
| Nov 30, 2025 | 7.40 Mn |
| Aug 31, 2025 | 2.70 Mn |
| May 31, 2025 | 3.20 Mn |
| Feb 28, 2025 | 3.20 Mn |
| Nov 30, 2024 | 2.60 Mn |
| Aug 31, 2024 | 2.60 Mn |
| May 31, 2024 | 2.90 Mn |
| Feb 29, 2024 | 7.90 Mn |
| Nov 30, 2023 | 2.60 Mn |
| Aug 31, 2023 | 2.20 Mn |
| May 31, 2023 | 1.30 Mn |
| Feb 28, 2023 | 900,000.00 |
| Nov 30, 2022 | 800,000.00 |
| Aug 31, 2022 | 800,000.00 |
| May 31, 2022 | 800,000.00 |
| Feb 28, 2022 | 200,000.00 |
| Nov 30, 2021 | 200,000.00 |
Applied Digital Depreciation and Depletion 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=depreciation-and-depletion&ticker=APLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=APLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();