American Electric Power (AEP) Other Operating Expenses (2009 - 2026)
American Electric Power's Other Operating Expenses came in at $5.78 billion for fiscal Q3 2016 (quarter ended Sep 30, 2016), up 66.5% from $3.47 billion a year earlier and up 91.0% from the prior quarter.
American Electric Power (AEP) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2016, American Electric Power reported Other Operating Expenses of $15.11 billion, up 13.1% year-over-year; for FY2015 (ended Dec 31, 2015), it was $11.45 billion, down 2.0% from FY2014.
- Other Operating Expenses carries a five-year compound annual growth rate of -0.5% (FY2010 to FY2015).
- Going back by fiscal year, Other Operating Expenses was $11.68 billion in FY2014 (+10.7%), $10.55 billion in FY2013 (-2.2%) and $10.78 billion in FY2012.
- The fiscal Q3 2016 figure represents the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2009.
- Year-over-year, Other Operating Expenses increased in four of the last eight quarters, with growth averaging 9.6%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q3 2016 (growth of 66.5%), and the weakest in fiscal Q4 2013 (a decline of 23.2%).
- Business Quant data shows AEP's Other Operating Expenses at $3.03 billion (Q2 2016), $3.15 billion (Q1 2016) and $3.15 billion (Q4 2015) in the three fiscal quarters before Q3 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.20 Bn |
| Mar 31, 2026 | 4.62 Bn |
| Dec 31, 2025 | 4.20 Bn |
| Sep 30, 2025 | 4.49 Bn |
| Jun 30, 2025 | 3.69 Bn |
| Mar 31, 2025 | 4.13 Bn |
| Dec 31, 2024 | 3.60 Bn |
| Sep 30, 2024 | 4.07 Bn |
| Jun 30, 2024 | 3.89 Bn |
| Mar 31, 2024 | 3.81 Bn |
| Dec 31, 2023 | 1.06 Bn |
| Sep 30, 2023 | 3.99 Bn |
| Jun 30, 2023 | 3.50 Bn |
| Mar 31, 2023 | 3.95 Bn |
| Dec 31, 2022 | 1.29 Bn |
| Sep 30, 2022 | 4.59 Bn |
| Jun 30, 2022 | 3.63 Bn |
| Mar 31, 2022 | 3.57 Bn |
| Dec 31, 2021 | 693.70 Mn |
| Sep 30, 2021 | 3.52 Bn |
American Electric Power Other Operating 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=other-operating-expenses&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();