American Electric Power (AEP) Total Non-Current Liabilities (2009 - 2026)
American Electric Power (AEP) recorded Total Non-Current Liabilities of $74.06 billion in Q2 2026, up 13.4% from $65.32 billion a year earlier and up 2.6% from the prior quarter.
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Analysis
American Electric Power (AEP) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, American Electric Power reported Total Non-Current Liabilities of $68.89 billion, up 9.3% from FY2024.
- Annual Total Non-Current Liabilities has increased for nine straight years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $63.05 billion in FY2024 (+5.5%), $59.77 billion in FY2023 (+6.8%), $55.97 billion in FY2022 (+6.6%) and $52.52 billion in FY2021 (+5.0%).
- The Q2 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 36 consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 1.3% (Q1 2022) and 15.0% (Q1 2026) over the last five years.
- Per Business Quant, the preceding three quarters came in at $72.15 billion (Q1 2026), $68.89 billion (Q4 2025) and $68.72 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 172.18 Bn | 170.30 Bn | - | 135.57 Bn |
| 2 | Southern | 106.86 Bn | 97.91 Bn | 5.92 Bn | 82.64 Bn |
| 3 | Duke Energy | 97.23 Bn | 95.83 Bn | 6.74 Bn | 139.75 Bn |
| 4 | National Grid | 85.13 Bn | 57.46 Bn | - | 77.92 Bn |
| 5 | American Electric Power | 70.60 Bn | 68.98 Bn | 3.84 Bn | 74.06 Bn |
| 6 | Dominion Energy | 57.38 Bn | 60.06 Bn | - | 48.44 Bn |
| 7 | Sempra | 54.97 Bn | 54.10 Bn | 2.89 Bn | 72.44 Bn |
| 8 | Entergy | 50.09 Bn | 39.27 Bn | - | 51.46 Bn |
| 9 | Xcel Energy | 48.73 Bn | 43.64 Bn | - | 44.56 Bn |
| 10 | Exelon | 45.85 Bn | 41.17 Bn | - | 57.12 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.06 Bn |
| Mar 31, 2026 | 72.15 Bn |
| Dec 31, 2025 | 68.89 Bn |
| Sep 30, 2025 | 68.72 Bn |
| Jun 30, 2025 | 65.32 Bn |
| Mar 31, 2025 | 62.74 Bn |
| Dec 31, 2024 | 63.05 Bn |
| Sep 30, 2024 | 62.75 Bn |
| Jun 30, 2024 | 63.23 Bn |
| Mar 31, 2024 | 60.94 Bn |
| Dec 31, 2023 | 59.77 Bn |
| Sep 30, 2023 | 58.42 Bn |
| Jun 30, 2023 | 58.55 Bn |
| Mar 31, 2023 | 57.87 Bn |
| Dec 31, 2022 | 55.97 Bn |
| Sep 30, 2022 | 54.83 Bn |
| Jun 30, 2022 | 54.05 Bn |
| Mar 31, 2022 | 52.17 Bn |
| Dec 31, 2021 | 52.52 Bn |
| Sep 30, 2021 | 53.78 Bn |
API Access
American Electric Power 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=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AEP", "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=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();