American Electric Power (AEP) Interest Expenses (2009 - 2026)
American Electric Power (AEP) reported Interest Expenses of $225.3 million for fiscal Q3 2016 (quarter ended Sep 30, 2016), up 2.3% from $220.2 million a year earlier and up 0.2% from the prior quarter.
American Electric Power (AEP) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2016, American Electric Power's Interest Expenses came in at $883 million, up 0.8% year-over-year; for FY2015 (ended Dec 31, 2015), it came in at $873.9 million, up 0.7% from FY2014.
- Interest Expenses has a five-year compound annual growth rate of -2.6% (FY2010 to FY2015).
- By fiscal year, Interest Expenses came in at $868 million in FY2014 (-2.5%), $890 million in FY2013 (-9.9%) and $988 million in FY2012.
- The fiscal Q3 2016 figure ranks as the highest quarterly Interest Expenses since fiscal Q2 2013.
- Year over year, Interest Expenses gained in four of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Interest Expenses in five years was fiscal Q4 2014 (growth of 6.3%); the low point was fiscal Q4 2013 (a decline of 29.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2016 came in at $224.9 million (Q2 2016), $217 million (Q1 2016) and $215.8 million (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | -132.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 1.00 Mn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 796.00 Mn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 968.00 Mn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 585.00 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 555.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 430.00 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 433.11 Mn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 443.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 585.00 Mn |
| Mar 31, 2026 | 552.00 Mn |
| Dec 31, 2025 | 533.10 Mn |
| Sep 30, 2025 | 508.50 Mn |
| Jun 30, 2025 | 489.00 Mn |
| Mar 31, 2025 | 495.00 Mn |
| Dec 31, 2024 | 463.00 Mn |
| Sep 30, 2024 | 498.80 Mn |
| Jun 30, 2024 | 465.60 Mn |
| Mar 31, 2024 | 435.60 Mn |
| Dec 31, 2023 | 461.00 Mn |
| Sep 30, 2023 | 470.30 Mn |
| Jun 30, 2023 | 460.00 Mn |
| Mar 31, 2023 | 415.70 Mn |
| Dec 31, 2022 | 394.40 Mn |
| Sep 30, 2022 | 360.70 Mn |
| Jun 30, 2022 | 327.60 Mn |
| Mar 31, 2022 | 313.40 Mn |
| Dec 31, 2021 | 303.60 Mn |
| Sep 30, 2021 | 303.70 Mn |
American Electric Power Interest Expenses 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=interest-expenses&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();