Evergy, Inc. (EVRG) Interest Expenses (2017 - 2019)
Evergy's (EVRG) quarterly Interest Expenses came in at $95.4 million in Q2 2019, up 63.36% year-over-year from $58.4 million in Q2 2018, and up 4.72% quarter-over-quarter from $91.1 million in Q1 2019.
Evergy, Inc. (EVRG) Interest Expenses (2017 - 2019) Analysis & Trends
Evergy has disclosed Interest Expenses across 3 years of filings, most recently posting $95.4 million for Q2 2019.
- In Q2 2019, Interest Expenses rose 63.36% year-over-year to $95.4 million; the TTM figure through Jun 2019 stood at $295.2 million (up 56.69% YoY), while the FY2018 annual figure was $279.6 million, up 63.51% from the prior year.
- Interest Expenses came in at $95.4 million for Q2 2019 at Evergy, up from $91.1 million in the prior quarter.
- In the past five years, Interest Expenses ranged from a high of $95.4 million in Q2 2019 to a low of $19.6 million in Q4 2018.
- Average Interest Expenses over 3 years is $58.6 million, with a median of $43.8 million recorded in 2018.
- Year-over-year, Interest Expenses slumped 54.21% in 2018 and surged 107.99% in 2019.
- Over 3 years, Interest Expenses stood at $42.8 million in 2017, then tumbled by 54.21% to $19.6 million in 2018, then jumped by 386.73% to $95.4 million in 2019.
- Per Business Quant data, the three most recent Interest Expenses figures were $95.4 million in Q2 2019, $91.1 million in Q1 2019, and $19.6 million in Q4 2018.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 95.40 Mn |
| Mar 31, 2019 | 91.10 Mn |
| Dec 31, 2018 | 19.60 Mn |
| Sep 30, 2018 | 89.10 Mn |
| Jun 30, 2018 | 58.40 Mn |
| Mar 31, 2018 | 43.80 Mn |
| Dec 31, 2017 | 42.80 Mn |
| Sep 30, 2017 | 43.40 Mn |
| Jun 30, 2017 | 43.70 Mn |
Evergy, Inc. Interest 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=interest-expenses&ticker=EVRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=EVRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();