Oracle Corp (ORCL-PD) Gross Margin (2009 - 2018)
Oracle's (ORCL-PD) 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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Oracle Corp (ORCL-PD) Gross Margin (2009 - 2018) Analysis & Trends
Oracle (ORCL-PD) 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
Historic Data
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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 Corp 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-PD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "ORCL-PD", "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-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();