Aes (AES) Total Non-Current Liabilities (2009 - 2026)
Aes' Total Non-Current Liabilities was $34.4 billion in Q3 2026, up 11.6% from $30.82 billion a year earlier and up 4.8% from the prior quarter.
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Analysis
Aes (AES) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Aes came in at $31.35 billion, up 3.8% from FY2024.
- Total Non-Current Liabilities has now increased for four consecutive years, with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $30.19 billion in FY2024 (+9.3%), $27.62 billion in FY2023 (+6.0%), $26.05 billion in FY2022 (+16.2%) and $22.41 billion in FY2021 (-5.3%).
- The Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 18 straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2023 (growth of 16.4%); the worst was Q4 2021 (a decline of 5.3%).
- Per Business Quant data, AES's Total Non-Current Liabilities in the three quarters before Q3 2026 was $32.84 billion (Q2 2026), $32.19 billion (Q1 2026) and $31.35 billion (Q4 2025).
Peer Set
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 | Aes | 10.64 Bn | 3.55 Bn | 982.00 Mn | 34.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.40 Bn |
| Jun 30, 2026 | 32.84 Bn |
| Mar 31, 2026 | 32.19 Bn |
| Dec 31, 2025 | 31.35 Bn |
| Sep 30, 2025 | 30.82 Bn |
| Jun 30, 2025 | 31.00 Bn |
| Mar 31, 2025 | 30.65 Bn |
| Dec 31, 2024 | 30.19 Bn |
| Sep 30, 2024 | 29.16 Bn |
| Jun 30, 2024 | 29.99 Bn |
| Mar 31, 2024 | 30.05 Bn |
| Dec 31, 2023 | 27.62 Bn |
| Sep 30, 2023 | 27.66 Bn |
| Jun 30, 2023 | 27.83 Bn |
| Mar 31, 2023 | 26.84 Bn |
| Dec 31, 2022 | 26.05 Bn |
| Sep 30, 2022 | 25.21 Bn |
| Jun 30, 2022 | 24.06 Bn |
| Mar 31, 2022 | 23.05 Bn |
| Dec 31, 2021 | 22.41 Bn |
API Access
Aes 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=AES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AES", "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=AES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();