Oracle (ORCL) Inventory Average (2010 - 2018)
Oracle's (ORCL) quarterly Inventory Average came in at $466.0 million in Q1 2018, up 29.81% year-over-year from $359.0 million in Q1 2017, and up 24.6% on a QoQ basis from $374.0 million in Q4 2017.
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Analysis
Oracle (ORCL) Inventory Average (2010 - 2018) Analysis & Trends
Oracle (ORCL) has 9 years of Inventory Average data on file, last reported at $466.0 million in Q1 2018.
- On a quarterly basis, Inventory Average rose 29.81% year-over-year to $466.0 million in Q1 2018; TTM through Feb 2018 was $466.0 million, a 29.81% increase from a year earlier, with the FY2017 full-year figure at $256.0 million, down 2.66% from the prior year.
- Inventory Average for Q1 2018 stood at $466.0 million, up from $374.0 million in the prior quarter.
- Across five years, Inventory Average topped out at $466.0 million in Q1 2018 and bottomed at $184.0 million in Q3 2014.
- Historically, Inventory Average has averaged $278.4 million across 5 years, with a median of $249.0 million in 2016.
- The widest annual swing landed in 2016, when Inventory Average dropped 29.22%; it then surged 62.97% in 2017.
- Year by year, Inventory Average stood at $193.5 million in 2014, then rose by 26.36% to $244.5 million in 2015, then increased by 25.36% to $306.5 million in 2016, then gained by 22.02% to $374.0 million in 2017, then advanced by 24.6% to $466.0 million in 2018.
- Per Business Quant data, the three most recent Inventory Average figures were $466.0 million in Q1 2018, $374.0 million in Q4 2017, and $306.0 million in Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory Avg. (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
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2018 | 466.00 Mn |
| Nov 30, 2017 | 374.00 Mn |
| Aug 31, 2017 | 306.00 Mn |
| May 31, 2017 | 345.50 Mn |
| Feb 28, 2017 | 359.00 Mn |
| Nov 30, 2016 | 306.50 Mn |
| Aug 31, 2016 | 249.00 Mn |
| May 31, 2016 | 212.00 Mn |
| Feb 29, 2016 | 225.00 Mn |
| Nov 30, 2015 | 244.50 Mn |
| Aug 31, 2015 | 282.50 Mn |
| May 31, 2015 | 299.50 Mn |
| Feb 28, 2015 | 246.50 Mn |
| Nov 30, 2014 | 193.50 Mn |
| Aug 31, 2014 | 184.00 Mn |
| May 31, 2014 | 208.00 Mn |
| Feb 28, 2014 | 230.50 Mn |
| Nov 30, 2013 | 238.50 Mn |
| Aug 31, 2013 | 241.50 Mn |
| May 31, 2013 | 225.50 Mn |
API Access
Oracle Inventory Average 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=inventory-average&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory-average", "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=inventory-average&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();