Entergy (ETR) Long-Term Debt Repayments (2009 - 2026)
Entergy's Long-Term Debt Repayments was $573.89 million in Q2 2026, down 23.2% from $746.97 million a year earlier and down 55.5% from the prior quarter.
Entergy (ETR) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Entergy's Long-Term Debt Repayments was $3.77 billion through Jun 30, 2026, down 11.9% year-over-year; for FY2025, it was $3.5 billion, down 30.7% from FY2024.
- Long-Term Debt Repayments has now declined for three consecutive years, with a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $5.05 billion in FY2024 (-1.6%), $5.14 billion in FY2023 (-14.3%), $6 billion in FY2022 (+24.2%) and $4.83 billion in FY2021 (-40.8%).
- Quarterly Long-Term Debt Repayments has moved between $472.71 million (Q4 2025) and $3.07 billion (Q2 2022) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last eight quarters, with an average decline of 9.4%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2022 (growth of 97.5%); the worst was Q4 2021 (a decline of 71.8%).
- Per Business Quant data, ETR's Long-Term Debt Repayments in the three quarters before Q2 2026 was $1.29 billion (Q1 2026), $472.71 million (Q4 2025) and $1.43 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | 932.00 Mn |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | 934.00 Mn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | 2.58 Bn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | 900.00 Mn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 563.00 Mn |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | 4.53 Bn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | 573.89 Mn |
| 10 | Xcel Energy | 44.58 Bn | 39.49 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 573.89 Mn |
| Mar 31, 2026 | 1.29 Bn |
| Dec 31, 2025 | 472.71 Mn |
| Sep 30, 2025 | 1.43 Bn |
| Jun 30, 2025 | 746.97 Mn |
| Mar 31, 2025 | 852.75 Mn |
| Dec 31, 2024 | 854.15 Mn |
| Sep 30, 2024 | 1.82 Bn |
| Jun 30, 2024 | 1.54 Bn |
| Mar 31, 2024 | 835.74 Mn |
| Dec 31, 2023 | 1.75 Bn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 1.44 Bn |
| Mar 31, 2023 | 834.53 Mn |
| Dec 31, 2022 | 997.26 Mn |
| Sep 30, 2022 | 705.22 Mn |
| Jun 30, 2022 | 3.07 Bn |
| Mar 31, 2022 | 1.22 Bn |
| Dec 31, 2021 | 781.04 Mn |
| Sep 30, 2021 | 1.15 Bn |
Entergy Long-Term Debt Repayments 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-repayments&ticker=ETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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-repayments&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();