American Electric Power (AEP) Net Income (2009 - 2026)
American Electric Power (AEP) posted Net Income of $718 million for Q2 2026, down 43.4% from $1.27 billion a year earlier and down 20.5% from the prior quarter.
American Electric Power (AEP) Net Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Income at American Electric Power was $3.18 billion, down 13.9% year-over-year; for FY2025, it was $3.6 billion, up 20.8% from FY2024.
- Annual Net Income shows a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In prior years, American Electric Power's Net Income was $2.98 billion in FY2024 (+34.5%), $2.21 billion in FY2023 (-4.0%), $2.31 billion in FY2022 (-7.3%) and $2.49 billion in FY2021 (+13.3%).
- Quarterly Net Income has run from a low of $337.8 million in Q4 2023 to a high of $1.27 billion in Q2 2025 over five years.
- On a year-over-year basis, Net Income increased in five of the last eight quarters, with growth averaging 38.3%.
- The strongest year-over-year quarter for Net Income in the past five years was Q2 2025, with growth of 270.2%; the weakest was Q1 2023, with a decline of 44.2%.
- According to Business Quant data, Net Income for the three prior quarters was $903 million (Q1 2026), $584.1 million (Q4 2025) and $979.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 3.14 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 1.17 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 1.58 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 423.00 Mn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 329.00 Mn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 942.00 Mn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 487.82 Mn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 586.00 Mn |
| 10 | Exelon | 43.40 Bn | 38.71 Bn | - | 396.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 423.00 Mn |
| Mar 31, 2026 | 903.00 Mn |
| Dec 31, 2025 | 985.50 Mn |
| Sep 30, 2025 | 758.00 Mn |
| Jun 30, 2025 | 1.29 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();