American Electric Power (AEP) Long-Term Debt Repayments (2009 - 2026)
American Electric Power (AEP) recorded Long-Term Debt Repayments of $900 million in Q2 2026, down 17.8% from $1.1 billion a year earlier but up 32.7% from the prior quarter.
American Electric Power (AEP) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, American Electric Power's Long-Term Debt Repayments came in at $3.9 billion as of Jun 30, 2026, up 74.2% year-over-year; for FY2025, it was $3.65 billion, up 35.9% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $2.69 billion in FY2024 (+22.3%), $2.2 billion in FY2023 (-6.4%), $2.35 billion in FY2022 (-21.5%) and $2.99 billion in FY2021 (+123.1%).
- Quarterly Long-Term Debt Repayments has ranged from $51 million in Q1 2022 to $1.48 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last eight quarters, with growth averaging 93.7%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 918.6% in Q1 2023, against a decline of 92.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $678 million (Q1 2026), $845.2 million (Q4 2025) and $1.48 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 287.73 Bn | 287.73 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 160.25 Bn | 161.15 Bn | - | 932.00 Mn |
| 3 | Southern | 96.31 Bn | 87.36 Bn | 5.92 Bn | 934.00 Mn |
| 4 | Duke Energy | 88.79 Bn | 87.40 Bn | 6.74 Bn | 2.58 Bn |
| 5 | National Grid | 79.16 Bn | 60.69 Bn | - | - |
| 6 | American Electric Power | 65.09 Bn | 63.47 Bn | 3.84 Bn | 900.00 Mn |
| 7 | Dominion Energy | 53.95 Bn | 56.63 Bn | - | 563.00 Mn |
| 8 | Sempra | 51.22 Bn | 50.35 Bn | 2.89 Bn | 4.53 Bn |
| 9 | Entergy | 47.09 Bn | 36.28 Bn | - | 573.89 Mn |
| 10 | Xcel Energy | 44.58 Bn | 39.49 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 900.00 Mn |
| Mar 31, 2026 | 678.00 Mn |
| Dec 31, 2025 | 845.20 Mn |
| Sep 30, 2025 | 1.48 Bn |
| Jun 30, 2025 | 1.10 Bn |
| Mar 31, 2025 | 229.00 Mn |
| Dec 31, 2024 | 715.90 Mn |
| Sep 30, 2024 | 200.00 Mn |
| Jun 30, 2024 | 606.90 Mn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 842.70 Mn |
| Sep 30, 2023 | 711.60 Mn |
| Jun 30, 2023 | 122.20 Mn |
| Mar 31, 2023 | 519.50 Mn |
| Dec 31, 2022 | 666.30 Mn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 531.40 Mn |
| Mar 31, 2022 | 51.00 Mn |
| Dec 31, 2021 | 1.44 Bn |
| Sep 30, 2021 | 551.70 Mn |
American Electric Power Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();