Oracle Corp (ORCL) Work In Process (2011 - 2018)
Oracle's Work In Process was $36 million in fiscal Q3 2018 (quarter ended Feb 28, 2018), down 21.7% from $46 million a year earlier but up 2.9% from the prior quarter.
Oracle Corp (ORCL) Work In Process (2011 - 2018) Analysis & Trends
At the end of FY2017 (ended May 31, 2017), Work In Process at Oracle came in at $42 million, up 35.5% from FY2016.
- Work In Process shows a five-year compound annual growth rate of 16.0% (FY2012 to FY2017).
- In earlier fiscal years, Work In Process was $31 million in FY2016 (-18.4%), $38 million in FY2015 (+35.7%), $28 million in FY2014 (-9.7%) and $31 million in FY2013 (+55.0%).
- Quarterly Work In Process has moved between $23 million (fiscal Q1 2015) and $65 million (fiscal Q3 2015) over five years.
- Compared with a year earlier, Work In Process has declined for three straight quarters, with growth averaging 8.8% over the last eight quarters.
- The best year-over-year quarter for Work In Process over five years was fiscal Q1 2014 (growth of 183.3%); the worst was fiscal Q3 2016 (a decline of 64.6%).
- Per Business Quant data, ORCL's Work In Process in the three fiscal quarters before Q3 2018 was $35 million (Q2 2018), $34 million (Q1 2018) and $42 million (Q4 2017).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2018 | 36.00 Mn |
| Nov 30, 2017 | 35.00 Mn |
| Aug 31, 2017 | 34.00 Mn |
| May 31, 2017 | 42.00 Mn |
| Feb 28, 2017 | 46.00 Mn |
| Nov 30, 2016 | 46.00 Mn |
| Aug 31, 2016 | 45.00 Mn |
| May 31, 2016 | 31.00 Mn |
| Feb 29, 2016 | 23.00 Mn |
| Nov 30, 2015 | 36.00 Mn |
| Aug 31, 2015 | 47.00 Mn |
| May 31, 2015 | 38.00 Mn |
| Feb 28, 2015 | 65.00 Mn |
| Nov 30, 2014 | 34.00 Mn |
| Aug 31, 2014 | 23.00 Mn |
| May 31, 2014 | 28.00 Mn |
| Feb 28, 2014 | 32.00 Mn |
| Nov 30, 2013 | 29.00 Mn |
| Aug 31, 2013 | 34.00 Mn |
| May 31, 2013 | 31.00 Mn |
Oracle Corp Work In Process 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=work-in-process&ticker=ORCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=ORCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();