Energy Co Of Minas Gerais (CIG) Change in Accured Expenses (2017 - 2021)
Energy Co Of Minas Gerais (CIG) recorded Change in Accured Expenses of -$48.37 million in the year ended Dec 31, 2025, compared with -$26.33 million a year earlier.
Energy Co Of Minas Gerais (CIG) Change in Accured Expenses (2017 - 2021) Analysis & Trends
Starting with the year ended Dec 31, 2009, Energy Co Of Minas Gerais' Change in Accured Expenses history includes 13 years.
- The figure for the year ended Dec 31, 2025 is the lowest annual Change in Accured Expenses since the year ended Dec 31, 2018.
- Per Business Quant data, CIG's Change in Accured Expenses was -$26.33 million in the year ended Dec 31, 2024, $124.83 million in the year ended Dec 31, 2023, -$11.84 million in the year ended Dec 31, 2022 and $242.34 million in the year ended Dec 31, 2021 (-21.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | - |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | -460.00 Mn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | - |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 114.00 Mn |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | - |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | -1.74 Mn |
| 10 | Energy Co Of Minas Gerais | 15.85 Bn | 15.85 Bn | 385.67 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -264.26 Mn |
| Sep 30, 2021 | 281.57 Mn |
| Jun 30, 2021 | 319.83 Mn |
| Mar 31, 2021 | -70.97 Mn |
| Dec 31, 2020 | 185.87 Mn |
| Sep 30, 2020 | 37.01 Mn |
| Dec 31, 2018 | -387.18 Mn |
| Sep 30, 2018 | -258.87 Mn |
| Dec 31, 2017 | -373.86 Mn |
Energy Co Of Minas Gerais Change in Accured 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=change-in-accured-expenses&ticker=CIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CIG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=CIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();