Entergy Corp /De/ (ETR) Long-Term Debt (2009 - 2026)
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Analysis
Entergy Corp /De/ (ETR) Long-Term Debt (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.55 Bn |
| Mar 31, 2026 | 31.15 Bn |
| Dec 31, 2025 | 27.90 Bn |
| Sep 30, 2025 | 27.06 Bn |
| Jun 30, 2025 | 28.11 Bn |
| Mar 31, 2025 | 28.26 Bn |
| Dec 31, 2024 | 26.61 Bn |
| Sep 30, 2024 | 26.56 Bn |
| Jun 30, 2024 | 26.30 Bn |
| Mar 31, 2024 | 24.31 Bn |
| Dec 31, 2023 | 23.01 Bn |
| Sep 30, 2023 | 24.66 Bn |
| Jun 30, 2023 | 24.32 Bn |
| Mar 31, 2023 | 24.46 Bn |
| Dec 31, 2022 | 23.62 Bn |
| Sep 30, 2022 | 24.64 Bn |
| Jun 30, 2022 | 24.54 Bn |
| Mar 31, 2022 | 26.18 Bn |
| Dec 31, 2021 | 24.84 Bn |
| Sep 30, 2021 | 23.85 Bn |
API Access
Entergy Corp /De/ 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=ETR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=long-term-debt&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();