American Electric Power (AEP) Total Non-Current Liabilities (2009 - 2026)
American Electric Power (AEP) recorded Total Non-Current Liabilities of $36.55 billion in fiscal Q4 2016 (quarter ended Dec 31, 2016), down 0.3% from $36.67 billion a year earlier but up 0.6% from the prior quarter.
American Electric Power (AEP) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
Starting with fiscal Q2 2009, American Electric Power's Total Non-Current Liabilities history includes 27 quarters.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 3.4% (FY2011 to FY2016).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $36.67 billion in FY2015 (+5.5%), $34.75 billion in FY2014 (+1.6%), $34.22 billion in FY2013 (+5.9%) and $32.31 billion in FY2012 (+4.4%).
- Quarterly Total Non-Current Liabilities has ranged from $31.7 billion in fiscal Q1 2012 to $37.12 billion in fiscal Q1 2016 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 4.1%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 10.2% in fiscal Q2 2015, against a decline of 0.3% in fiscal Q4 2016 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $36.32 billion (Q3 2016), $37.04 billion (Q2 2016) and $37.12 billion (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 4.60 Bn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 135.67 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 68.94 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 132.53 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | -3.15 Bn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 74.06 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 58.73 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 71.47 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 51.46 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 44.62 Bn |
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 |
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_KEY
import 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();