Oracle (ORCL) Non Operating Income (2009 - 2018)
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.
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Analysis
Oracle (ORCL) Non Operating Income (2009 - 2018) 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | - |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 468.43 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 119.70 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | - |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | - |
| 10 | Workday | 45.93 Bn | 22.06 Bn | 2.00 Bn | 14.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Aug 31, 2016 | 148.00 Mn |
| May 31, 2016 | 126.00 Mn |
| Feb 29, 2016 | 65.00 Mn |
| Nov 30, 2015 | 84.00 Mn |
| Aug 31, 2015 | 30.00 Mn |
| May 31, 2015 | 41.00 Mn |
| Feb 28, 2015 | 40.00 Mn |
| Nov 30, 2014 | 9.00 Mn |
| Aug 31, 2014 | 16.00 Mn |
| May 31, 2014 | -81.00 Mn |
| Feb 28, 2014 | -90.00 Mn |
| Nov 30, 2013 | 23.00 Mn |
| Aug 31, 2013 | 7.00 Mn |
| May 31, 2013 | 35.00 Mn |
API Access
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_KEYimport 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();