Oracle (ORCL) Gross Profit (2009 - 2018)
Oracle's (ORCL) quarterly Gross Profit came in at $10.3 billion in Q2 2018, up 50.55% year-over-year from $6.8 billion in Q2 2017, and up 71.92% on a QoQ basis from $6.0 billion in Q1 2018.
Oracle (ORCL) Gross Profit (2009 - 2018) Analysis & Trends
Oracle (ORCL) has 10 years of Gross Profit data on file, last reported at $10.3 billion in Q2 2018.
- On a quarterly basis, Gross Profit rose 50.55% year-over-year to $10.3 billion in Q2 2018; TTM through May 2018 was $27.6 billion, a 19.72% increase from a year earlier, with the FY2018 full-year figure at $36.5 billion, up 58.56% from the prior year.
- Gross Profit for Q2 2018 stood at $10.3 billion, up from $6.0 billion in the prior quarter.
- Across five years, Gross Profit topped out at $10.6 billion in Q2 2014 and bottomed at $5.1 billion in Q3 2016.
- Historically, Gross Profit has averaged $7.2 billion across 5 years, with a median of $6.7 billion in 2016.
- The widest annual swing landed in 2015, when Gross Profit slumped 39.18%; it then soared 50.55% in 2018.
- Year by year, Gross Profit stood at $8.8 billion in 2014, then slumped by 39.18% to $5.4 billion in 2015, then rose by 2.51% to $5.5 billion in 2016, then advanced by 5.63% to $5.8 billion in 2017, then jumped by 76.35% to $10.3 billion in 2018.
- Per Business Quant data, the three most recent Gross Profit figures were $10.3 billion in Q2 2018, $6.0 billion in Q1 2018, and $5.8 billion in Q4 2017.
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 |
|---|---|
| May 31, 2018 | 10.26 Bn |
| Feb 28, 2018 | 5.97 Bn |
| Nov 30, 2017 | 5.82 Bn |
| Aug 31, 2017 | 5.51 Bn |
| May 31, 2017 | 6.82 Bn |
| Feb 28, 2017 | 5.58 Bn |
| Nov 30, 2016 | 5.51 Bn |
| Aug 31, 2016 | 5.11 Bn |
| May 31, 2016 | 6.54 Bn |
| Feb 29, 2016 | 5.45 Bn |
| Nov 30, 2015 | 5.37 Bn |
| Aug 31, 2015 | 7.74 Bn |
| May 31, 2015 | 9.96 Bn |
| Feb 28, 2015 | 8.60 Bn |
| Nov 30, 2014 | 8.83 Bn |
| Aug 31, 2014 | 7.91 Bn |
| May 31, 2014 | 10.56 Bn |
| Feb 28, 2014 | 8.59 Bn |
| Nov 30, 2013 | 8.52 Bn |
| Aug 31, 2013 | 7.65 Bn |
Oracle Gross Profit 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=gross-profit&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();