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 | 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 | Energy Co Of Minas Gerais | 5.38 Bn | 5.38 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 |
| Mar 31, 2024 | 34.33 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 |
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();