Sempra (SRE) Operating Expenses (2009 - 2026)
Sempra (SRE) recorded Operating Expenses of $5.95 billion in FY2011, up 4.4% from $5.7 billion in FY2010.
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Analysis
Sempra (SRE) Operating Expenses (2009 - 2026) Analysis & Trends
- Per Business Quant data, SRE's Operating Expenses was $5.7 billion in FY2010 (+9.5%) and $5.21 billion in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | -140.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 5.29 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 5.20 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 6.84 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 4.20 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 4.15 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 1.35 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 2.67 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 2.41 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 1.25 Bn |
| Sep 30, 2025 | 1.21 Bn |
| Jun 30, 2025 | 1.17 Bn |
| Mar 31, 2025 | 1.16 Bn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 1.04 Bn |
| Mar 31, 2024 | 1.05 Bn |
| Dec 31, 2023 | 1.02 Bn |
| Sep 30, 2023 | 1.01 Bn |
| Jun 30, 2023 | 976.00 Mn |
| Mar 31, 2023 | 1.02 Bn |
| Sep 30, 2021 | 3.66 Bn |
| Jun 30, 2021 | 2.00 Bn |
| Mar 31, 2021 | 2.02 Bn |
| Dec 31, 2020 | 2.35 Bn |
| Sep 30, 2020 | 1.98 Bn |
| Jun 30, 2020 | 1.66 Bn |
API Access
Sempra Operating 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=operating-expenses&ticker=SRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SRE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();