Oracle (ORCL) Depreciation and Depletion (2009 - 2026)
Oracle (ORCL) reported Depreciation and Depletion of $3.2 billion for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 128.6% from $1.4 billion a year earlier and up 32.5% from the prior quarter.
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Analysis
Oracle (ORCL) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Oracle's Depreciation and Depletion came in at $9.42 billion, up 109.6% year-over-year; for FY2026 (ended May 31, 2026), it came in at $7.62 billion, up 95.5% from FY2025.
- Depreciation and Depletion has increased for 17 consecutive fiscal years, with a five-year compound annual growth rate of 37.7% (FY2021 to FY2026).
- By fiscal year, Depreciation and Depletion came in at $3.9 billion in FY2025 (+24.6%), $3.13 billion in FY2024 (+23.9%), $2.53 billion in FY2023 (+28.1%) and $1.97 billion in FY2022 (+28.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Depreciation and Depletion in data going back to fiscal Q3 2009.
- Year over year, Depreciation and Depletion has now increased in each of the last 31 quarters, with growth averaging 73.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 12.9% in fiscal Q1 2025 to 128.6% in fiscal Q1 2027.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.42 billion (Q4 2026), $2.15 billion (Q3 2026) and $1.66 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | - |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 3.20 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | - |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 162.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | - |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 24.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 3.20 Bn |
| May 31, 2026 | 2.42 Bn |
| Feb 28, 2026 | 2.15 Bn |
| Nov 30, 2025 | 1.66 Bn |
| Aug 31, 2025 | 1.40 Bn |
| May 31, 2025 | 1.19 Bn |
| Feb 28, 2025 | 1.00 Bn |
| Nov 30, 2024 | 908.00 Mn |
| Aug 31, 2024 | 804.00 Mn |
| May 31, 2024 | 811.00 Mn |
| Feb 29, 2024 | 808.00 Mn |
| Nov 30, 2023 | 798.00 Mn |
| Aug 31, 2023 | 712.00 Mn |
| May 31, 2023 | 716.00 Mn |
| Feb 28, 2023 | 672.00 Mn |
| Nov 30, 2022 | 591.00 Mn |
| Aug 31, 2022 | 547.00 Mn |
| May 31, 2022 | 563.00 Mn |
| Feb 28, 2022 | 496.00 Mn |
| Nov 30, 2021 | 459.00 Mn |
API Access
Oracle 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=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "ORCL", "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=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();