American Electric Power (AEP) Non-Current Debt (2009 - 2026)
American Electric Power's Non-Current Debt was $17.38 billion in fiscal Q4 2016 (quarter ended Dec 31, 2016), down 2.0% from $17.74 billion a year earlier but up 0.3% from the prior quarter.
American Electric Power (AEP) Non-Current Debt (2009 - 2026) Analysis & Trends
From fiscal Q2 2009 onward, American Electric Power has reported Non-Current Debt for 27 quarters.
- Non-Current Debt shows a five-year compound annual growth rate of 2.9% (FY2011 to FY2016).
- In earlier fiscal years, Non-Current Debt was $17.74 billion in FY2015 (+10.8%), $16.01 billion in FY2014 (-4.8%), $16.83 billion in FY2013 (+8.0%) and $15.59 billion in FY2012 (+3.3%).
- Quarterly Non-Current Debt has moved between $14.96 billion (fiscal Q3 2012) and $17.76 billion (fiscal Q2 2015) over five years.
- Compared with a year earlier, Non-Current Debt has declined for three straight quarters, with growth averaging 5.0% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q2 2015 (growth of 13.8%); the worst was fiscal Q4 2014 (a decline of 4.8%).
- Per Business Quant data, AEP's Non-Current Debt in the three fiscal quarters before Q4 2016 was $17.32 billion (Q3 2016), $17.54 billion (Q2 2016) and $17.75 billion (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 98.79 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 68.76 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 80.48 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | -5.26 Bn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 47.99 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 46.72 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 31.02 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 31.55 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 35.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.99 Bn |
| Mar 31, 2026 | 46.85 Bn |
| Dec 31, 2025 | 44.13 Bn |
| Sep 30, 2025 | 44.24 Bn |
| Jun 30, 2025 | 41.31 Bn |
| Mar 31, 2025 | 38.81 Bn |
| Dec 31, 2024 | 39.31 Bn |
| Sep 30, 2024 | 39.15 Bn |
| Jun 30, 2024 | 39.99 Bn |
| Mar 31, 2024 | 38.64 Bn |
| Dec 31, 2023 | 37.65 Bn |
| Sep 30, 2023 | 36.72 Bn |
| Jun 30, 2023 | 36.76 Bn |
| Mar 31, 2023 | 36.24 Bn |
| Dec 31, 2022 | 34.31 Bn |
| Sep 30, 2022 | 33.65 Bn |
| Jun 30, 2022 | 32.98 Bn |
| Mar 31, 2022 | 30.86 Bn |
| Dec 31, 2021 | 31.30 Bn |
| Sep 30, 2021 | 32.06 Bn |
American Electric Power Non-Current Debt 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=non-current-debt&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();