Energy Co Of Minas Gerais (CIG) Selling, General & Administrative (2009 - 2026)
Energy Co Of Minas Gerais' Selling, General & Administrative came in at -$45.44 million for the quarter ended Jun 30, 2026, compared with -$31.44 million a year earlier.
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Analysis
Energy Co Of Minas Gerais (CIG) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Energy Co Of Minas Gerais reported Selling, General & Administrative of -$167.89 million; for the year ended Dec 31, 2025, it came in at $148.16 million, up 5.0% from the prior year.
- Going back by year, Selling, General & Administrative was $141.1 million in the year ended Dec 31, 2024 (-1.2%), $142.81 million in the year ended Dec 31, 2023, -$153.11 million in the year ended Dec 31, 2022 and -$106.22 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Selling, General & Administrative is -$48.22 million (the quarter ended Dec 31, 2025) to -$26.15 million (the quarter ended Dec 31, 2021).
- Business Quant data shows CIG's Selling, General & Administrative at -$38.38 million (quarter ended Mar 31, 2026), -$48.22 million (quarter ended Dec 31, 2025) and -$35.85 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | - |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | - |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | - |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | - |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | - |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | - |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | - |
| 10 | Energy Co Of Minas Gerais | 15.55 Bn | 15.55 Bn | 385.67 Mn | -45.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -45.44 Mn |
| Mar 31, 2026 | -38.38 Mn |
| Dec 31, 2025 | -48.22 Mn |
| Sep 30, 2025 | -35.85 Mn |
| Jun 30, 2025 | -31.44 Mn |
| Mar 31, 2025 | -33.11 Mn |
| Dec 31, 2024 | -36.75 Mn |
| Sep 30, 2024 | -37.25 Mn |
| Jun 30, 2024 | -39.56 Mn |
| Dec 31, 2023 | -45.05 Mn |
| Dec 31, 2021 | -26.15 Mn |
| Sep 30, 2021 | -32.10 Mn |
| Jun 30, 2021 | -10.06 Mn |
| Mar 31, 2021 | -37.60 Mn |
| Dec 31, 2020 | -33.04 Mn |
| Sep 30, 2020 | -26.35 Mn |
| Jun 30, 2020 | -13.30 Mn |
| Mar 31, 2020 | -43.53 Mn |
| Jun 30, 2019 | -56.86 Mn |
| Dec 31, 2018 | -53.01 Mn |
API Access
Energy Co Of Minas Gerais Selling, General & Administrative 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=selling-general-and-administrative&ticker=CIG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();