Wisconsin Electric Power (WELPP) Accumulated Expenses (2009 - 2026)
Wisconsin Electric Power (WELPP) posted Accumulated Expenses of $71.2 million for Q3 2026, up 24.7% from $57.1 million a year earlier.
Wisconsin Electric Power (WELPP) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Wisconsin Electric Power's Accumulated Expenses came in at $31.9 million, up 15.6% from FY2024.
- Annual Accumulated Expenses shows a four-year compound annual growth rate of 30.8% (FY2021 to FY2025).
- In prior years, Wisconsin Electric Power's Accumulated Expenses was $27.6 million in FY2024, $17.6 million in FY2022 (+61.5%) and $10.9 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - |
| 10 | Xcel Energy | 50.89 Bn | 44.36 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 71.20 Mn |
| Jun 30, 2026 | 47.90 Mn |
| Mar 31, 2026 | 69.50 Mn |
| Dec 31, 2025 | 31.90 Mn |
| Sep 30, 2025 | 57.10 Mn |
| Mar 31, 2025 | 60.80 Mn |
| Dec 31, 2024 | 27.60 Mn |
| Sep 30, 2023 | 52.10 Mn |
| Dec 31, 2022 | 17.60 Mn |
| Mar 31, 2022 | 40.10 Mn |
| Dec 31, 2021 | 10.90 Mn |
| Sep 30, 2021 | 43.70 Mn |
| Jun 30, 2021 | 45.90 Mn |
| Mar 31, 2021 | 38.50 Mn |
| Dec 31, 2020 | 43.30 Mn |
| Sep 30, 2020 | 44.70 Mn |
| Jun 30, 2020 | 45.20 Mn |
| Mar 31, 2020 | 39.60 Mn |
| Dec 31, 2019 | 51.30 Mn |
| Jun 30, 2019 | 44.80 Mn |
Wisconsin Electric Power 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=WELPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "WELPP", "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=WELPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();