Oracle (ORCL) Inventory (2010 - 2018)
Oracle's Inventory was $496 million in fiscal Q3 2018 (quarter ended Feb 28, 2018), up 26.9% from $391 million a year earlier and up 13.8% from the prior quarter.
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Analysis
Oracle (ORCL) Inventory (2010 - 2018) Analysis & Trends
At the end of FY2017 (ended May 31, 2017), Inventory at Oracle came in at $300 million, up 41.5% from FY2016.
- Inventory shows a five-year compound annual growth rate of 13.7% (FY2012 to FY2017).
- In earlier fiscal years, Inventory was $212 million in FY2016 (-32.5%), $314 million in FY2015 (+66.1%), $189 million in FY2014 (-21.3%) and $240 million in FY2013 (+51.9%).
- The fiscal Q3 2018 figure marks the highest quarterly Inventory in data going back to fiscal Q3 2010.
- Compared with a year earlier, Inventory has increased for seven straight quarters, with growth averaging 26.8% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was fiscal Q3 2017 (growth of 84.4%); the worst was fiscal Q4 2016 (a decline of 32.5%).
- Per Business Quant data, ORCL's Inventory in the three fiscal quarters before Q3 2018 was $436 million (Q2 2018), $312 million (Q1 2018) and $300 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 448.13 Bn | 417.08 Bn | 1.64 Bn | - |
| 2 | Oracle | 384.60 Bn | 256.73 Bn | - | - |
| 3 | Sap Se | 259.92 Bn | 187.70 Bn | 8.40 Bn | - |
| 4 | Salesforce | 196.84 Bn | 152.71 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 145.64 Bn | 124.10 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 115.19 Bn | 97.32 Bn | 2.51 Bn | - |
| 7 | Intuit | 89.13 Bn | 68.48 Bn | 3.44 Bn | - |
| 8 | Relx | 71.34 Bn | 70.43 Bn | - | - |
| 9 | Strategy | 48.55 Bn | 41.54 Bn | 81.55 Mn | - |
| 10 | Thomson Reuters | 48.39 Bn | 45.17 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2018 | 496.00 Mn |
| Nov 30, 2017 | 436.00 Mn |
| Aug 31, 2017 | 312.00 Mn |
| May 31, 2017 | 300.00 Mn |
| Feb 28, 2017 | 391.00 Mn |
| Nov 30, 2016 | 327.00 Mn |
| Aug 31, 2016 | 286.00 Mn |
| May 31, 2016 | 212.00 Mn |
| Feb 29, 2016 | 212.00 Mn |
| Nov 30, 2015 | 238.00 Mn |
| Aug 31, 2015 | 251.00 Mn |
| May 31, 2015 | 314.00 Mn |
| Feb 28, 2015 | 285.00 Mn |
| Nov 30, 2014 | 208.00 Mn |
| Aug 31, 2014 | 179.00 Mn |
| May 31, 2014 | 189.00 Mn |
| Feb 28, 2014 | 227.00 Mn |
| Nov 30, 2013 | 234.00 Mn |
| Aug 31, 2013 | 243.00 Mn |
| May 31, 2013 | 240.00 Mn |
API Access
Oracle Inventory 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&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();