American Electric Power (AEP) Operating Income (2009 - 2026)
American Electric Power (AEP) recorded Operating Income of $1.25 billion in Q2 2026, down 10.9% from $1.4 billion a year earlier and down 8.3% from the prior quarter.
American Electric Power (AEP) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, American Electric Power's Operating Income came in at $5.24 billion as of Jun 30, 2026, up 2.2% year-over-year; for FY2025, it was $5.32 billion, up 23.6% from FY2024.
- Annual Operating Income has increased for six straight years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- Across earlier years, Operating Income came in at $4.3 billion in FY2024 (+21.0%), $3.56 billion in FY2023 (+2.1%), $3.48 billion in FY2022 (+2.1%) and $3.41 billion in FY2021 (+14.2%).
- Quarterly Operating Income has ranged from $560.1 million in Q4 2022 to $1.52 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Income rose in six of the last eight quarters, with growth averaging 24.9%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 104.6% in Q2 2025, against a decline of 28.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.36 billion (Q1 2026), $1.11 billion (Q4 2025) and $1.52 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 185.33 Bn | 172.08 Bn | - | 2.62 Bn |
| 2 | Southern | 108.70 Bn | 99.76 Bn | 5.92 Bn | 1.78 Bn |
| 3 | Duke Energy | 103.38 Bn | 99.64 Bn | 5.66 Bn | 2.05 Bn |
| 4 | National Grid | 86.16 Bn | 58.46 Bn | - | - |
| 5 | American Electric Power | 71.30 Bn | 69.10 Bn | 4.75 Bn | 1.81 Bn |
| 6 | Dominion Energy | 61.97 Bn | 59.96 Bn | - | 329.00 Mn |
| 7 | Sempra | 52.85 Bn | 51.97 Bn | 2.89 Bn | 523.00 Mn |
| 8 | Entergy | 52.07 Bn | 38.51 Bn | - | 1.48 Bn |
| 9 | Xcel Energy | 50.85 Bn | 44.32 Bn | - | 1.19 Bn |
| 10 | Exelon | 48.14 Bn | 43.46 Bn | - | 979.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.81 Bn |
| Jun 30, 2026 | 1.25 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.40 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 683.90 Mn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 623.20 Mn |
| Sep 30, 2023 | 1.35 Bn |
| Jun 30, 2023 | 874.70 Mn |
| Mar 31, 2023 | 704.80 Mn |
| Dec 31, 2022 | 560.10 Mn |
| Sep 30, 2022 | 930.10 Mn |
| Jun 30, 2022 | 1.00 Bn |
| Mar 31, 2022 | 988.10 Mn |
| Dec 31, 2021 | 683.70 Mn |
American Electric Power Operating 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=operating-income&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();