American Electric Power (AEP) EBIT (2009 - 2026)
American Electric Power (AEP) posted EBIT of $1.25 billion for Q2 2026, down 10.9% from $1.4 billion a year earlier and down 8.3% from the prior quarter.
American Electric Power (AEP) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at American Electric Power was $5.24 billion, up 2.2% year-over-year; for FY2025, it came in at $5.32 billion, up 23.6% from FY2024.
- Annual EBIT has increased for six consecutive years, with a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In prior years, American Electric Power's EBIT was $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 EBIT has run from a low of $560.1 million in Q4 2022 to a high of $1.52 billion in Q3 2025 over five years.
- On a year-over-year basis, EBIT increased in six of the last eight quarters, with growth averaging 24.9%.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2025, with growth of 104.6%; the weakest was Q1 2023, with a decline of 28.7%.
- According to Business Quant data, EBIT for the three prior quarters was $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) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 2.24 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 1.78 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 2.73 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 1.25 Bn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 329.00 Mn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 711.00 Mn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 850.09 Mn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 706.00 Mn |
| 10 | Exelon | 43.40 Bn | 38.71 Bn | - | 979.00 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 1.11 Bn |
American Electric Power EBIT 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=ebit&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();