Entergy (ETR) Total Non-Current Liabilities (2009 - 2026)
Entergy (ETR) recorded Total Non-Current Liabilities of $54.15 billion in Q3 2026, up 20.1% from $45.08 billion a year earlier and up 5.2% from the prior quarter.
Entergy (ETR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Entergy reported Total Non-Current Liabilities of $46.83 billion, up 8.2% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $43.27 billion in FY2024 (+12.9%), $38.34 billion in FY2023 (-1.5%), $38.94 billion in FY2022 (-5.8%) and $41.34 billion in FY2021 (+3.4%).
- The Q3 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased for ten consecutive quarters, with growth averaging 11.2% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 20.1% in Q3 2026, against a decline of 5.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.46 billion (Q2 2026), $49.99 billion (Q1 2026) and $46.83 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 299.49 Bn | 296.88 Bn | - | 4.88 Bn |
| 2 | Nextera Energy | 179.92 Bn | 166.66 Bn | - | 135.57 Bn |
| 3 | Southern | 105.56 Bn | 96.61 Bn | 5.92 Bn | 82.64 Bn |
| 4 | Duke Energy | 99.44 Bn | 95.69 Bn | 5.66 Bn | 142.33 Bn |
| 5 | National Grid | 82.69 Bn | 64.32 Bn | - | 77.92 Bn |
| 6 | American Electric Power | 68.52 Bn | 66.31 Bn | 4.75 Bn | 76.29 Bn |
| 7 | Dominion Energy | 59.67 Bn | 57.66 Bn | - | 48.44 Bn |
| 8 | Entergy | 52.06 Bn | 38.50 Bn | - | 54.15 Bn |
| 9 | Sempra | 51.32 Bn | 50.45 Bn | 2.89 Bn | 72.44 Bn |
| 10 | Xcel Energy | 49.97 Bn | 43.44 Bn | - | 46.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.15 Bn |
| Jun 30, 2026 | 51.46 Bn |
| Mar 31, 2026 | 49.99 Bn |
| Dec 31, 2025 | 46.83 Bn |
| Sep 30, 2025 | 45.08 Bn |
| Jun 30, 2025 | 45.34 Bn |
| Mar 31, 2025 | 44.92 Bn |
| Dec 31, 2024 | 43.27 Bn |
| Sep 30, 2024 | 43.24 Bn |
| Jun 30, 2024 | 42.38 Bn |
| Mar 31, 2024 | 39.95 Bn |
| Dec 31, 2023 | 38.34 Bn |
| Sep 30, 2023 | 40.67 Bn |
| Jun 30, 2023 | 40.25 Bn |
| Mar 31, 2023 | 39.99 Bn |
| Dec 31, 2022 | 38.94 Bn |
| Sep 30, 2022 | 40.41 Bn |
| Jun 30, 2022 | 40.25 Bn |
| Mar 31, 2022 | 42.47 Bn |
| Dec 31, 2021 | 41.34 Bn |
Entergy Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ETR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ETR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();