Entergy Corp /De/ (ETR) Current Portion of Long-Term Debt (2009 - 2026)
Powered by 
Analysis
Entergy Corp /De/ (ETR) Current Portion of Long-Term Debt (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 Bn |
| Mar 31, 2026 | 1.53 Bn |
| Dec 31, 2025 | 2.38 Bn |
| Sep 30, 2025 | 1.98 Bn |
| Jun 30, 2025 | 1.82 Bn |
| Mar 31, 2025 | 1.33 Bn |
| Dec 31, 2024 | 1.38 Bn |
| Sep 30, 2024 | 1.32 Bn |
| Jun 30, 2024 | 1.52 Bn |
| Mar 31, 2024 | 2.18 Bn |
| Dec 31, 2023 | 2.10 Bn |
| Sep 30, 2023 | 1.52 Bn |
| Jun 30, 2023 | 1.85 Bn |
| Mar 31, 2023 | 2.26 Bn |
| Dec 31, 2022 | 2.31 Bn |
| Sep 30, 2022 | 1.58 Bn |
| Jun 30, 2022 | 909.03 Mn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 1.04 Bn |
| Sep 30, 2021 | 770.33 Mn |
API Access
Entergy Corp /De/ Current Portion of 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=current-portion-of-long-term-debt&ticker=ETR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-portion-of-long-term-debt", "ticker": "ETR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=current-portion-of-long-term-debt&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();