Evergy, Inc. (EVRG) Accumulated Expenses (2017 - 2019)
Evergy's (EVRG) quarterly Accumulated Expenses came in at $80.7 million in Q2 2019, down 1.59% year-over-year from $82.0 million in Q2 2018, and down 46.27% quarter-over-quarter from $150.2 million in Q1 2019.
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Evergy, Inc. (EVRG) Accumulated Expenses (2017 - 2019) Analysis & Trends
Evergy has disclosed Accumulated Expenses across 3 years of filings, most recently posting $80.7 million for Q2 2019.
- In Q2 2019, Accumulated Expenses fell 1.59% year-over-year to $80.7 million; the TTM figure through Jun 2019 stood at $80.7 million (down 1.59% YoY), while the FY2018 annual figure was $110.9 million, up 52.54% from the prior year.
- Accumulated Expenses came in at $80.7 million for Q2 2019 at Evergy, down from $150.2 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $150.2 million in Q1 2019 to a low of $72.7 million in Q4 2017.
- Average Accumulated Expenses over 3 years is $102.7 million, with a median of $96.4 million recorded in 2018.
- Year-over-year, Accumulated Expenses soared 52.54% in 2018 and decreased 1.59% in 2019.
- Over 3 years, Accumulated Expenses stood at $72.7 million in 2017, then jumped by 52.54% to $110.9 million in 2018, then decreased by 27.23% to $80.7 million in 2019.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $80.7 million in Q2 2019, $150.2 million in Q1 2019, and $110.9 million in Q4 2018.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 80.70 Mn |
| Mar 31, 2019 | 150.20 Mn |
| Dec 31, 2018 | 110.90 Mn |
| Sep 30, 2018 | 119.60 Mn |
| Jun 30, 2018 | 82.00 Mn |
| Dec 31, 2017 | 72.70 Mn |
API Access
Evergy, Inc. 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=EVRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EVRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();