Oracle (ORCL) Non Operating Income (2009 - 2026)
Oracle's Non Operating Income came in at $423 million for fiscal Q3 2018 (quarter ended Feb 28, 2018), up 123.8% from $189 million a year earlier and up 54.9% from the prior quarter.
Oracle (ORCL) Non Operating Income (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Feb 28, 2018, Oracle reported Non Operating Income of $1.1 billion, up 95.2% year-over-year; for FY2017 (ended May 31, 2017), it came in at $605 million, up 98.4% from FY2016.
- Non Operating Income carries a five-year compound annual growth rate of 94.0% (FY2012 to FY2017).
- Going back by fiscal year, Non Operating Income was $305 million in FY2016 (+187.7%), $106 million in FY2015, -$141 million in FY2014 and $11 million in FY2013 (-50.0%).
- The fiscal Q3 2018 figure represents the highest quarterly Non Operating Income in data going back to fiscal Q3 2009.
- Year-over-year, Non Operating Income has increased for 11 consecutive quarters, with growth averaging 150.0% over the last eight quarters.
- The fastest year-over-year change in Non Operating Income over five years came in fiscal Q2 2016 (growth of 833.3%), and the weakest in fiscal Q2 2015 (a decline of 60.9%).
- Business Quant data shows ORCL's Non Operating Income at $273 million (Q2 2018), $233 million (Q1 2018) and $168 million (Q4 2017) in the three fiscal quarters before Q3 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.71 Bn | 369.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 379.12 Bn | 251.67 Bn | 18.57 Bn | 307.00 Mn |
| 3 | Sap Se | 288.51 Bn | 216.50 Bn | 8.64 Bn | 110.44 Mn |
| 4 | Salesforce | 179.30 Bn | 135.17 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 122.61 Bn | 109.40 Bn | 2.53 Bn | 140.30 Mn |
| 6 | ServiceNow | 106.15 Bn | 85.41 Bn | 2.90 Bn | - |
| 7 | Intuit | 91.71 Bn | 71.06 Bn | 3.44 Bn | - |
| 8 | Relx | 73.69 Bn | 73.69 Bn | - | - |
| 9 | Thomson Reuters | 48.63 Bn | 44.60 Bn | - | - |
| 10 | Roper Technologies | 47.52 Bn | 46.16 Bn | 1.52 Bn | -600,000.00 |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 307.00 Mn |
| Nov 30, 2025 | 2.67 Bn |
| Aug 31, 2025 | 73.00 Mn |
| Nov 30, 2024 | 36.00 Mn |
| Aug 31, 2024 | 20.00 Mn |
| May 31, 2020 | -33.00 Mn |
| Feb 29, 2020 | 4.00 Mn |
| Nov 30, 2019 | 92.00 Mn |
| Aug 31, 2019 | 99.00 Mn |
| May 31, 2019 | 134.00 Mn |
| Feb 28, 2019 | 198.00 Mn |
| Nov 30, 2018 | 192.00 Mn |
| Aug 31, 2018 | 291.00 Mn |
| May 31, 2018 | 256.00 Mn |
| Feb 28, 2018 | 423.00 Mn |
| Nov 30, 2017 | 273.00 Mn |
| Aug 31, 2017 | 233.00 Mn |
| May 31, 2017 | 168.00 Mn |
| Feb 28, 2017 | 189.00 Mn |
| Nov 30, 2016 | 99.00 Mn |
Oracle Non Operating Income 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=non-operating-income&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();