Oracle (ORCL) Finished Goods (2011 - 2018)
Oracle (ORCL) posted Finished Goods of $132 million for fiscal Q3 2018 (quarter ended Feb 28, 2018), up 30.7% from $101 million a year earlier and up 16.8% from the prior quarter.
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Analysis
Oracle (ORCL) Finished Goods (2011 - 2018) Analysis & Trends
At the end of FY2017 (ended May 31, 2017), Oracle's Finished Goods came in at $72 million, down 16.3% from FY2016.
- Annual Finished Goods shows a five-year compound annual growth rate of -5.0% (FY2012 to FY2017).
- In prior fiscal years, Oracle's Finished Goods was $86 million in FY2016 (-47.6%), $164 million in FY2015 (+88.5%), $87 million in FY2014 (-8.4%) and $95 million in FY2013 (+2.2%).
- The fiscal Q3 2018 figure stands as the highest quarterly Finished Goods since fiscal Q4 2015.
- On a year-over-year basis, Finished Goods increased in five of the last eight quarters, with growth averaging 4.6%.
- The strongest year-over-year quarter for Finished Goods in the past five years was fiscal Q4 2015, with growth of 88.5%; the weakest was fiscal Q4 2016, with a decline of 47.6%.
- According to Business Quant data, Finished Goods for the three prior fiscal quarters was $113 million (Q2 2018), $120 million (Q1 2018) and $72 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2018 | 132.00 Mn |
| Nov 30, 2017 | 113.00 Mn |
| Aug 31, 2017 | 120.00 Mn |
| May 31, 2017 | 72.00 Mn |
| Feb 28, 2017 | 101.00 Mn |
| Nov 30, 2016 | 128.00 Mn |
| Aug 31, 2016 | 101.00 Mn |
| May 31, 2016 | 86.00 Mn |
| Feb 29, 2016 | 87.00 Mn |
| Nov 30, 2015 | 94.00 Mn |
| Aug 31, 2015 | 91.00 Mn |
| May 31, 2015 | 164.00 Mn |
| Feb 28, 2015 | 125.00 Mn |
| Nov 30, 2014 | 108.00 Mn |
| Aug 31, 2014 | 84.00 Mn |
| May 31, 2014 | 87.00 Mn |
| Feb 28, 2014 | 96.00 Mn |
| Nov 30, 2013 | 87.00 Mn |
| Aug 31, 2013 | 74.00 Mn |
| May 31, 2013 | 95.00 Mn |
API Access
Oracle Finished Goods 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=finished-goods&ticker=ORCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();