Western Midstream Partners, LP (WES) Accumulated Expenses (2012 - 2018)
Western Midstream Partners' Accumulated Expenses was $129.2 million in Q4 2018, up 169.2% from $47.99 million a year earlier and up 12.8% from the prior quarter.
Western Midstream Partners, LP (WES) Accumulated Expenses (2012 - 2018) Analysis & Trends
From Q1 2012 onward, Western Midstream Partners has reported Accumulated Expenses for 26 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of -1.3% (FY2013 to FY2018).
- In earlier years, Accumulated Expenses was $47.99 million in FY2017 (+6.2%), $45.19 million in FY2016 (-62.1%), $119.1 million in FY2015 (-30.3%) and $170.86 million in FY2014 (+23.8%).
- Quarterly Accumulated Expenses has moved between $45.19 million (Q4 2016) and $171.22 million (Q1 2015) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for five straight quarters, with growth averaging 34.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2018 (growth of 169.2%); the worst was Q4 2016 (a decline of 62.1%).
- Per Business Quant data, WES's Accumulated Expenses in the three quarters before Q4 2018 was $114.5 million (Q3 2018), $131.4 million (Q2 2018) and $79.12 million (Q1 2018).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 129.20 Mn |
| Sep 30, 2018 | 114.50 Mn |
| Jun 30, 2018 | 131.40 Mn |
| Mar 31, 2018 | 79.12 Mn |
| Dec 31, 2017 | 47.99 Mn |
| Sep 30, 2017 | 57.70 Mn |
| Jun 30, 2017 | 56.98 Mn |
| Mar 31, 2017 | 58.08 Mn |
| Dec 31, 2016 | 45.19 Mn |
| Sep 30, 2016 | 122.36 Mn |
| Jun 30, 2016 | 130.16 Mn |
| Mar 31, 2016 | 128.38 Mn |
| Dec 31, 2015 | 119.10 Mn |
| Sep 30, 2015 | 138.75 Mn |
| Jun 30, 2015 | 149.27 Mn |
| Mar 31, 2015 | 171.22 Mn |
| Dec 31, 2014 | 170.86 Mn |
| Sep 30, 2014 | 153.06 Mn |
| Jun 30, 2014 | 133.15 Mn |
| Mar 31, 2014 | 125.06 Mn |
Western Midstream Partners, LP Accumulated Expenses 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=accumulated-expenses&ticker=WES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "WES", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=WES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();