Sempra (SRE) Interest Expenses (2009 - 2026)
Sempra (SRE) posted Interest Expenses of $465 million for FY2011, up 6.7% from $436 million in FY2010.
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Analysis
Sempra (SRE) Interest Expenses (2009 - 2026) Analysis & Trends
- Business Quant data shows SRE's Interest Expenses at $436 million in FY2010 (+18.8%) and $367 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | -132.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 1.00 Mn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 796.00 Mn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 968.00 Mn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 585.00 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 555.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 430.00 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 433.11 Mn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 443.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 430.00 Mn |
| Mar 31, 2026 | 382.00 Mn |
| Dec 31, 2025 | 337.00 Mn |
| Sep 30, 2025 | 403.00 Mn |
| Jun 30, 2025 | 359.00 Mn |
| Mar 31, 2025 | 433.00 Mn |
| Dec 31, 2024 | 105.00 Mn |
| Sep 30, 2024 | 328.00 Mn |
| Jun 30, 2024 | 311.00 Mn |
| Mar 31, 2024 | 305.00 Mn |
| Dec 31, 2023 | 314.00 Mn |
| Sep 30, 2023 | 312.00 Mn |
| Jun 30, 2023 | 317.00 Mn |
| Mar 31, 2023 | 366.00 Mn |
| Dec 31, 2022 | 258.00 Mn |
| Sep 30, 2022 | 282.00 Mn |
| Jun 30, 2022 | 271.00 Mn |
| Mar 31, 2022 | 243.00 Mn |
| Dec 31, 2021 | 422.00 Mn |
| Sep 30, 2021 | 259.00 Mn |
API Access
Sempra Interest 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=interest-expenses&ticker=SRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=SRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();