Sempra (SRE) Common Stock (2009 - 2026)
Analysis
Sempra (SRE) Common Stock (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.76 Bn |
| Mar 31, 2026 | 14.73 Bn |
| Dec 31, 2025 | 14.70 Bn |
| Sep 30, 2025 | 14.20 Bn |
| Jun 30, 2025 | 13.52 Bn |
| Mar 31, 2025 | 13.48 Bn |
| Dec 31, 2024 | 13.52 Bn |
| Sep 30, 2024 | 12.29 Bn |
| Jun 30, 2024 | 12.25 Bn |
| Mar 31, 2024 | 12.21 Bn |
| Dec 31, 2023 | 12.20 Bn |
| Sep 30, 2023 | 12.04 Bn |
| Jun 30, 2023 | 12.04 Bn |
| Mar 31, 2023 | 12.16 Bn |
| Dec 31, 2022 | 12.16 Bn |
| Sep 30, 2022 | 12.14 Bn |
| Jun 30, 2022 | 12.12 Bn |
| Mar 31, 2022 | 11.66 Bn |
| Dec 31, 2021 | 11.86 Bn |
| Sep 30, 2021 | 10.79 Bn |
API Access
Sempra Common Stock 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=common-stock&ticker=SRE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-stock", "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=common-stock&ticker=SRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();