Entergy (ETR) Asset Retirement Obligations (2009 - 2026)
Entergy (ETR) posted Asset Retirement Obligations of $5.12 billion for Q3 2026, up 4.8% from $4.89 billion a year earlier and up 1.1% from the prior quarter.
Entergy (ETR) Asset Retirement Obligations (2009 - 2026) Analysis & Trends
At the end of FY2025, Entergy's Asset Retirement Obligations came in at $4.95 billion, up 5.0% from FY2024.
- Annual Asset Retirement Obligations has increased for three consecutive years, though with a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- In prior years, Entergy's Asset Retirement Obligations was $4.71 billion in FY2024 (+4.6%), $4.51 billion in FY2023 (+5.5%), $4.27 billion in FY2022 (-10.2%) and $4.76 billion in FY2021 (-26.5%).
- The Q3 2026 figure stands as the highest quarterly Asset Retirement Obligations since Q1 2021.
- On a year-over-year basis, Asset Retirement Obligations has increased in each of the last 14 quarters, with growth averaging 4.1% over the last eight quarters.
- The strongest year-over-year quarter for Asset Retirement Obligations in the past five years was Q3 2024, with growth of 8.2%; the weakest was Q4 2021, with a decline of 26.5%.
- According to Business Quant data, Asset Retirement Obligations for the three prior quarters was $5.06 billion (Q2 2026), $5 billion (Q1 2026) and $4.95 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | AROs (Qtr) |
|---|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn | - |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn | - |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - | 3.94 Bn |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn | 8.86 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn | 462.00 Mn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn | 3.67 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - | 5.12 Bn |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - | 3.88 Bn |
| 10 | Xcel Energy | 50.89 Bn | 44.36 Bn | - | 3.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.12 Bn |
| Jun 30, 2026 | 5.06 Bn |
| Mar 31, 2026 | 5.00 Bn |
| Dec 31, 2025 | 4.95 Bn |
| Sep 30, 2025 | 4.89 Bn |
| Jun 30, 2025 | 4.83 Bn |
| Mar 31, 2025 | 4.77 Bn |
| Dec 31, 2024 | 4.71 Bn |
| Sep 30, 2024 | 4.82 Bn |
| Jun 30, 2024 | 4.68 Bn |
| Mar 31, 2024 | 4.58 Bn |
| Dec 31, 2023 | 4.51 Bn |
| Sep 30, 2023 | 4.45 Bn |
| Jun 30, 2023 | 4.38 Bn |
| Mar 31, 2023 | 4.33 Bn |
| Dec 31, 2022 | 4.27 Bn |
| Sep 30, 2022 | 4.22 Bn |
| Jun 30, 2022 | 4.17 Bn |
| Mar 31, 2022 | 4.82 Bn |
| Dec 31, 2021 | 4.76 Bn |
Entergy Asset Retirement Obligations 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=asset-retirement-obligations&ticker=ETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-retirement-obligations", "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=asset-retirement-obligations&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();