Oracle (ORCL) Restructuring Costs (2009 - 2026)
Oracle's (ORCL) quarterly Restructuring Costs came in at $165.0 million in Q3 2026, down 60.24% year-over-year from $415.0 million in Q3 2025, and down 81.19% on a QoQ basis from $877.0 million in Q2 2026.
Oracle (ORCL) Restructuring Costs (2009 - 2026) Analysis & Trends
Oracle (ORCL) has 18 years of Restructuring Costs data on file, last reported at $165.0 million in Q3 2026.
- On a quarterly basis, Restructuring Costs fell 60.24% year-over-year to $165.0 million in Q3 2026; TTM through Aug 2026 was $1.6 billion, a 123.6% increase from a year earlier, with the FY2026 full-year figure at $1.8 billion, up 391.44% from the prior year.
- Restructuring Costs for Q3 2026 stood at $165.0 million, down from $877.0 million in the prior quarter.
- Across five years, Restructuring Costs topped out at $877.0 million in Q2 2026 and bottomed at $6.0 million in Q2 2022.
- Historically, Restructuring Costs has averaged $194.2 million across 5 years, with a median of $138.0 million in 2023.
- The widest annual swing landed in 2022, when Restructuring Costs tumbled 97.06%; it then jumped 2083.33% in 2023.
- Year by year, Restructuring Costs stood at $137.0 million in 2022, then tumbled by 39.42% to $83.0 million in 2023, then grew by 1.2% to $84.0 million in 2024, then surged by 383.33% to $406.0 million in 2025, then sank by 59.36% to $165.0 million in 2026.
- Per Business Quant data, the three most recent Restructuring Costs figures were $165.0 million in Q3 2026, $877.0 million in Q2 2026, and $153.0 million in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 165.00 Mn |
| May 31, 2026 | 877.00 Mn |
| Feb 28, 2026 | 153.00 Mn |
| Nov 30, 2025 | 406.00 Mn |
| Aug 31, 2025 | 402.00 Mn |
| May 31, 2025 | 154.00 Mn |
| Feb 28, 2025 | 63.00 Mn |
| Nov 30, 2024 | 84.00 Mn |
| Aug 31, 2024 | 73.00 Mn |
| May 31, 2024 | 407.00 Mn |
| Feb 29, 2024 | 155.00 Mn |
| Nov 30, 2023 | 83.00 Mn |
| Aug 31, 2023 | 138.00 Mn |
| May 31, 2023 | 131.00 Mn |
| Feb 28, 2023 | 78.00 Mn |
| Nov 30, 2022 | 137.00 Mn |
| Aug 31, 2022 | 144.00 Mn |
| May 31, 2022 | 6.00 Mn |
| Feb 28, 2022 | 20.00 Mn |
| Nov 30, 2021 | 4.67 Bn |
Oracle Restructuring Costs 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=restructuring-costs&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();