Western Midstream Partners, LP (WES) Operating Expenses (2012 - 2018)
Western Midstream Partners' Operating Expenses was $444.63 million in Q4 2018, down 5.5% from $470.74 million a year earlier but up 26.6% from the prior quarter.
Western Midstream Partners, LP (WES) Operating Expenses (2012 - 2018) Analysis & Trends
For FY2018, Operating Expenses at Western Midstream Partners came in at $1.52 billion, down 15.2% from FY2017.
- Operating Expenses shows a five-year compound annual growth rate of 14.1% (FY2013 to FY2018).
- In earlier years, Operating Expenses was $1.79 billion in FY2017 (+51.8%), $1.18 billion in FY2016 (-31.6%), $1.73 billion in FY2015 (+66.0%) and $1.04 billion in FY2014 (+32.5%).
- Quarterly Operating Expenses has moved between $205.68 million (Q1 2014) and $578.39 million (Q1 2015) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 19.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2015 (growth of 181.2%); the worst was Q1 2016 (a decline of 57.3%).
- Per Business Quant data, WES's Operating Expenses in the three quarters before Q4 2018 was $351.31 million (Q3 2018), $401.3 million (Q2 2018) and $270.41 million (Q1 2018).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 444.63 Mn |
| Sep 30, 2018 | 351.31 Mn |
| Jun 30, 2018 | 401.30 Mn |
| Mar 31, 2018 | 270.41 Mn |
| Dec 31, 2017 | 470.74 Mn |
| Sep 30, 2017 | 417.59 Mn |
| Jun 30, 2017 | 379.76 Mn |
| Mar 31, 2017 | 523.33 Mn |
| Dec 31, 2016 | 346.40 Mn |
| Sep 30, 2016 | 312.82 Mn |
| Jun 30, 2016 | 273.71 Mn |
| Mar 31, 2016 | 247.16 Mn |
| Dec 31, 2015 | 526.69 Mn |
| Sep 30, 2015 | 306.07 Mn |
| Jun 30, 2015 | 315.02 Mn |
| Mar 31, 2015 | 578.39 Mn |
| Dec 31, 2014 | 340.57 Mn |
| Sep 30, 2014 | 243.89 Mn |
| Jun 30, 2014 | 249.58 Mn |
| Mar 31, 2014 | 205.68 Mn |
Western Midstream Partners, LP Operating 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=operating-expenses&ticker=WES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();