Oracle (ORCL) Cost of Revenue (2010 - 2018)
Oracle (ORCL) reported Cost of Revenue of $754 million for fiscal Q4 2018 (quarter ended May 31, 2018), up 3.6% from $728 million a year earlier and up 5.9% from the prior quarter.
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Analysis
Oracle (ORCL) Cost of Revenue (2010 - 2018) Analysis & Trends
For FY2018 (ended May 31, 2018), Oracle posted Cost of Revenue of $2.89 billion, up 3.1% from FY2017.
- Cost of Revenue has a five-year compound annual growth rate of -1.9% (FY2013 to FY2018).
- By fiscal year, Cost of Revenue came in at $2.8 billion in FY2017 (+1.8%), $2.75 billion in FY2016 (-6.1%), $2.93 billion in FY2015 (-0.8%) and $2.95 billion in FY2014 (-7.2%).
- The fiscal Q4 2018 figure ranks as the highest quarterly Cost of Revenue since fiscal Q2 2015.
- Year over year, Cost of Revenue has now increased in each of the last seven quarters, with growth averaging 2.5% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q4 2014 (growth of 47.9%); the low point was fiscal Q1 2014 (a decline of 18.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2018 came in at $712 million (Q3 2018), $720 million (Q2 2018) and $702 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 296.87 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | 3.08 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 2.65 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 1.17 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 2.96 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 40.82 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2018 | 754.00 Mn |
| Feb 28, 2018 | 712.00 Mn |
| Nov 30, 2017 | 720.00 Mn |
| Aug 31, 2017 | 702.00 Mn |
| May 31, 2017 | 728.00 Mn |
| Feb 28, 2017 | 680.00 Mn |
| Nov 30, 2016 | 697.00 Mn |
| Aug 31, 2016 | 695.00 Mn |
| May 31, 2016 | 693.00 Mn |
| Feb 29, 2016 | 657.00 Mn |
| Nov 30, 2015 | 690.00 Mn |
| Aug 31, 2015 | 711.00 Mn |
| May 31, 2015 | 750.00 Mn |
| Feb 28, 2015 | 724.00 Mn |
| Nov 30, 2014 | 764.00 Mn |
| Aug 31, 2014 | 691.00 Mn |
| May 31, 2014 | 760.00 Mn |
| Feb 28, 2014 | 715.00 Mn |
| Nov 30, 2013 | 759.00 Mn |
| Aug 31, 2013 | 720.00 Mn |
API Access
Oracle Cost of Revenue 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=cost-of-revenue&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();