Oracle (ORCL) Gross Margin (2009 - 2018)
Oracle's Gross Margin was 93.15% in fiscal Q4 2018 (quarter ended May 31, 2018), up 30.96 percentage points from 62.20% a year earlier and up 31.48 percentage points from the prior quarter.
Oracle (ORCL) Gross Margin (2009 - 2018) Analysis & Trends
For FY2018 (ended May 31, 2018), Gross Margin at Oracle came in at 92.67%, up 31.76 percentage points from FY2017.
- Gross Margin shows a five-year change of +1.23 percentage points (FY2013 to FY2018).
- In earlier fiscal years, Gross Margin was 60.90% in FY2017 (+0.41 pp), 60.49% in FY2016 (-1.53 pp), 62.02% in FY2015 (-30.26 pp) and 92.28% in FY2014 (+0.84 pp).
- The fiscal Q4 2018 figure marks the highest quarterly Gross Margin since fiscal Q4 2014.
- Compared with a year earlier, Gross Margin was higher in six of the last eight quarters, with an average year-over-year change of +0.31 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q4 2018 (a gain of 30.96 percentage points); the worst was fiscal Q2 2016 (a drop of 32.29 percentage points).
- Per Business Quant data, ORCL's Gross Margin in the three fiscal quarters before Q4 2018 was 61.68% (Q3 2018), 60.67% (Q2 2018) and 60.49% (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 447.96 Bn | 416.91 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 385.16 Bn | 257.30 Bn | - | - |
| 3 | Sap Se | 260.32 Bn | 188.10 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 197.14 Bn | 153.02 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 145.67 Bn | 124.13 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 115.19 Bn | 97.32 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 89.23 Bn | 68.58 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 71.38 Bn | 70.47 Bn | - | - |
| 9 | Thomson Reuters | 48.54 Bn | 45.33 Bn | - | - |
| 10 | Strategy | 48.48 Bn | 41.47 Bn | 81.55 Mn | 66.64% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2018 | 93.15% |
| Feb 28, 2018 | 61.68% |
| Nov 30, 2017 | 60.67% |
| Aug 31, 2017 | 60.49% |
| May 31, 2017 | 62.20% |
| Feb 28, 2017 | 60.64% |
| Nov 30, 2016 | 60.96% |
| Aug 31, 2016 | 59.45% |
| May 31, 2016 | 61.74% |
| Feb 29, 2016 | 60.42% |
| Nov 30, 2015 | 59.75% |
| Aug 31, 2015 | 91.58% |
| May 31, 2015 | 92.99% |
| Feb 28, 2015 | 92.24% |
| Nov 30, 2014 | 92.04% |
| Aug 31, 2014 | 91.96% |
| May 31, 2014 | 93.29% |
| Feb 28, 2014 | 92.32% |
| Nov 30, 2013 | 91.82% |
| Aug 31, 2013 | 91.40% |
Oracle Gross Margin 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-margin&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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-margin&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();