American Electric Power (AEP) Non Operating Interest Expenses (2009 - 2026)
American Electric Power (AEP) recorded Non Operating Interest Expenses of $225.3 million in 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) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, American Electric Power's Non Operating Interest Expenses came in at $883 million as of Sep 30, 2016, up 0.8% year-over-year; for FY2015 (ended Dec 31, 2015), it came in at $873.9 million, up 0.7% from FY2014.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -2.6% (FY2010 to FY2015).
- Across earlier fiscal years, Non Operating 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 is the highest quarterly Non Operating Interest Expenses since fiscal Q2 2013.
- On a year-over-year basis, Non Operating Interest Expenses rose in four of the last eight quarters, with growth averaging 1.2%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 6.3% in fiscal Q4 2014, against a decline of 29.6% in fiscal Q4 2013 at the low end.
- Per Business Quant, the preceding three fiscal quarters 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) | Non Operating Interest Expenses (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 Non Operating 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=non-operating-interest-expenses&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();