Evergy, Inc. (EVRG) Operating Expenses (2017 - 2019)
Evergy's (EVRG) quarterly Operating Expenses came in at $950.0 million in Q2 2019, up 23.94% year-over-year from $766.5 million in Q2 2018, and down 5.69% quarter-over-quarter from $1.0 billion in Q1 2019.
Evergy, Inc. (EVRG) Operating Expenses (2017 - 2019) Analysis & Trends
Evergy has disclosed Operating Expenses across 3 years of filings, most recently posting $950.0 million for Q2 2019.
- In Q2 2019, Operating Expenses rose 23.94% year-over-year to $950.0 million; the TTM figure through Jun 2019 stood at $3.1 billion (up 36.35% YoY), while the FY2018 annual figure was $3.3 billion, up 76.64% from the prior year.
- Operating Expenses came in at $950.0 million for Q2 2019 at Evergy, down from $1.0 billion in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $1.0 billion in Q3 2018 to a low of $54.6 million in Q4 2018.
- Average Operating Expenses over 3 years is $639.5 million, with a median of $529.4 million recorded in 2017.
- Year-over-year, Operating Expenses tumbled 88.44% in 2018 and soared 111.31% in 2019.
- Over 3 years, Operating Expenses stood at $472.5 million in 2017, then plunged by 88.44% to $54.6 million in 2018, then jumped by 1639.93% to $950.0 million in 2019.
- Per Business Quant data, the three most recent Operating Expenses figures were $950.0 million in Q2 2019, $1.0 billion in Q1 2019, and $54.6 million in Q4 2018.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 950.00 Mn |
| Mar 31, 2019 | 1.01 Bn |
| Dec 31, 2018 | 54.60 Mn |
| Sep 30, 2018 | 1.05 Bn |
| Jun 30, 2018 | 766.50 Mn |
| Mar 31, 2018 | 476.70 Mn |
| Dec 31, 2017 | 472.50 Mn |
| Sep 30, 2017 | 529.40 Mn |
| Jun 30, 2017 | 449.10 Mn |
Evergy, Inc. 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=EVRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EVRG", "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=EVRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();