Oracle (ORCL) Cost of Revenue (2010 - 2018)
Oracle's (ORCL) quarterly Cost of Revenue came in at $754.0 million in Q2 2018, up 3.57% year-over-year from $728.0 million in Q2 2017, and up 5.9% on a QoQ basis from $712.0 million in Q1 2018.
Oracle (ORCL) Cost of Revenue (2010 - 2018) Analysis & Trends
Oracle (ORCL) has 9 years of Cost of Revenue data on file, last reported at $754.0 million in Q2 2018.
- On a quarterly basis, Cost of Revenue rose 3.57% year-over-year to $754.0 million in Q2 2018; TTM through May 2018 was $2.9 billion, a 3.14% increase from a year earlier, with the FY2018 full-year figure at $2.9 billion, up 3.11% from the prior year.
- Cost of Revenue for Q2 2018 stood at $754.0 million, up from $712.0 million in the prior quarter.
- Across five years, Cost of Revenue topped out at $764.0 million in Q4 2014 and bottomed at $657.0 million in Q1 2016.
- Historically, Cost of Revenue has averaged $713.5 million across 5 years, with a median of $711.5 million in 2015.
- The largest YoY upside for Cost of Revenue was 47.86% in 2014 against a maximum downside of 16.28% in 2014.
- Year by year, Cost of Revenue stood at $764.0 million in 2014, then decreased by 9.69% to $690.0 million in 2015, then increased by 1.01% to $697.0 million in 2016, then increased by 3.3% to $720.0 million in 2017, then grew by 4.72% to $754.0 million in 2018.
- Per Business Quant data, the three most recent Cost of Revenue figures were $754.0 million in Q2 2018, $712.0 million in Q1 2018, and $720.0 million in Q4 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 296.87 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 3.08 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 2.65 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 1.17 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 2.96 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 894.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 40.82 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 436.00 Mn |
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 |
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_KEY
import 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();