Oracle (ORCL) Gross Margin (2009 - 2018)
Oracle's (ORCL) quarterly Gross Margin came in at 93.15% in Q2 2018, up 3096.0% year-over-year from 2.91% in Q2 2017, and up 51.03% on a QoQ basis from 61.68% in Q1 2018.
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Analysis
Oracle (ORCL) Gross Margin (2009 - 2018) Analysis & Trends
Oracle (ORCL) has 10 years of Gross Margin data on file, last reported at 93.15% in Q2 2018.
- On a quarterly basis, Gross Margin rose 3096.0% year-over-year to 93.15% in Q2 2018; TTM through May 2018 was 69.96%, a 906.0% increase from a year earlier, with the FY2018 full-year figure at 92.67%, up 3176.0% from the prior year.
- Gross Margin for Q2 2018 stood at 93.15%, up from 61.68% in the prior quarter.
- Across five years, Gross Margin topped out at 93.29% in Q2 2014 and bottomed at 59.45% in Q3 2016.
- Historically, Gross Margin has averaged 74.87% across 5 years, with a median of 61.97% in 2016.
- The widest annual swing landed in 2015, when Gross Margin sank 3229 bps; it then jumped 3096 bps in 2018.
- Year by year, Gross Margin stood at 92.04% in 2014, then plunged by 35 bps to 59.75% in 2015, then climbed by 2 bps to 60.96% in 2016, then declined by 0 bps to 60.67% in 2017, then surged by 54 bps to 93.15% in 2018.
- Per Business Quant data, the three most recent Gross Margin figures were 93.15% in Q2 2018, 61.68% in Q1 2018, and 60.67% in Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 79.47% |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 66.64% |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 83.54% |
Historic Data
Download Data
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% |
API Access
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_KEYimport 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();