American Electric Power (AEP) Net Income (2009 - 2026)
American Electric Power (AEP) posted Net Income of -$764.2 million for fiscal Q3 2016 (quarter ended Sep 30, 2016), compared with $519.6 million a year earlier.
American Electric Power (AEP) Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2016, Net Income at American Electric Power was $713.5 million, down 59.8% year-over-year; for FY2015 (ended Dec 31, 2015), it was $2.05 billion, up 25.3% from FY2014.
- Annual Net Income has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 11.0% (FY2010 to FY2015).
- In prior fiscal years, American Electric Power's Net Income was $1.64 billion in FY2014 (+10.4%), $1.48 billion in FY2013 (+17.6%) and $1.26 billion in FY2012.
- The fiscal Q3 2016 figure stands as the lowest quarterly Net Income in data going back to fiscal Q1 2009.
- On a year-over-year basis, Net Income increased in five of the last seven quarters, with growth averaging 17.9%.
- The strongest year-over-year quarter for Net Income in the past five years was fiscal Q4 2015, with growth of 145.8%; the weakest was fiscal Q4 2014, with a decline of 44.8%.
- According to Business Quant data, Net Income for the three prior fiscal quarters was $503.9 million (Q2 2016), $503.1 million (Q1 2016) and $470.7 million (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 293.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 2.62 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 1.19 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 1.58 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 718.00 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 340.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 942.00 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 487.82 Mn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 586.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 718.00 Mn |
| Mar 31, 2026 | 903.00 Mn |
| Dec 31, 2025 | 584.10 Mn |
| Sep 30, 2025 | 979.20 Mn |
| Jun 30, 2025 | 1.27 Bn |
| Mar 31, 2025 | 802.00 Mn |
| Dec 31, 2024 | 665.90 Mn |
| Sep 30, 2024 | 961.70 Mn |
| Jun 30, 2024 | 342.50 Mn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 337.80 Mn |
| Sep 30, 2023 | 958.30 Mn |
| Jun 30, 2023 | 516.10 Mn |
| Mar 31, 2023 | 400.40 Mn |
| Dec 31, 2022 | 383.40 Mn |
| Sep 30, 2022 | 683.30 Mn |
| Jun 30, 2022 | 520.80 Mn |
| Mar 31, 2022 | 718.10 Mn |
| Dec 31, 2021 | 538.60 Mn |
| Sep 30, 2021 | 796.90 Mn |
American Electric Power Net Income 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=net-income&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();