Sempra (SRE) Long-Term Debt (2009 - 2026)
Analysis
Sempra (SRE) Long-Term Debt (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.02 Bn |
| Mar 31, 2026 | 30.85 Bn |
| Dec 31, 2025 | 28.98 Bn |
| Sep 30, 2025 | 28.99 Bn |
| Jun 30, 2025 | 34.94 Bn |
| Mar 31, 2025 | 33.29 Bn |
| Dec 31, 2024 | 31.56 Bn |
| Sep 30, 2024 | 30.96 Bn |
| Jun 30, 2024 | 28.97 Bn |
| Mar 31, 2024 | 29.52 Bn |
| Dec 31, 2023 | 27.76 Bn |
| Sep 30, 2023 | 27.70 Bn |
| Jun 30, 2023 | 27.52 Bn |
| Mar 31, 2023 | 25.21 Bn |
| Dec 31, 2022 | 24.55 Bn |
| Sep 30, 2022 | 23.83 Bn |
| Jun 30, 2022 | 24.66 Bn |
| Mar 31, 2022 | 24.42 Bn |
| Dec 31, 2021 | 21.07 Bn |
| Sep 30, 2021 | 20.04 Bn |
API Access
Sempra Long-Term Debt 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=long-term-debt&ticker=SRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt", "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=long-term-debt&ticker=SRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();