American Electric Power (AEP) EBITDA Margin (2009 - 2026)
American Electric Power's EBITDA Margin was 39.61% in Q2 2026, down 4.68 percentage points from 44.29% a year earlier but up 1.96 percentage points from the prior quarter.
American Electric Power (AEP) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Electric Power's EBITDA Margin was 38.41% through Jun 30, 2026, down 2.72 percentage points year-over-year; for FY2025, it was 39.77%, up 1.26 percentage points from FY2024.
- EBITDA Margin has now increased for three consecutive years, with a five-year change of +1.76 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 38.51% in FY2024 (+3.50 pp), 35.01% in FY2023 (+0.97 pp), 34.04% in FY2022 (-3.10 pp) and 37.14% in FY2021 (-0.87 pp).
- Quarterly EBITDA Margin has moved between 27.58% (Q4 2022) and 44.29% (Q2 2025) over five years.
- Compared with a year earlier, EBITDA Margin has declined for four straight quarters, with an average year-over-year change of +1.35 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2025 (a gain of 11.41 percentage points); the worst was Q3 2022 (a drop of 7.40 percentage points).
- Per Business Quant data, AEP's EBITDA Margin in the three quarters before Q2 2026 was 37.66% (Q1 2026), 36.28% (Q4 2025) and 39.95% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 53.03% |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 48.33% |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 50.22% |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | - |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 39.61% |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 22.66% |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 44.14% |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 43.18% |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 44.73% |
| 10 | Exelon | 43.40 Bn | 38.71 Bn | - | 32.63% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.61% |
| Mar 31, 2026 | 37.66% |
| Dec 31, 2025 | 36.28% |
| Sep 30, 2025 | 39.95% |
| Jun 30, 2025 | 44.29% |
| Mar 31, 2025 | 38.75% |
| Dec 31, 2024 | 41.59% |
| Sep 30, 2024 | 46.63% |
| Jun 30, 2024 | 39.96% |
| Mar 31, 2024 | 37.70% |
| Dec 31, 2023 | 19.61% |
| Sep 30, 2023 | 45.95% |
| Jun 30, 2023 | 44.50% |
| Mar 31, 2023 | 29.92% |
| Dec 31, 2022 | 17.72% |
| Sep 30, 2022 | 36.99% |
| Jun 30, 2022 | 45.19% |
| Mar 31, 2022 | 37.48% |
| Dec 31, 2021 | 23.29% |
| Sep 30, 2021 | 44.93% |
American Electric Power EBITDA Margin 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=ebitda-margin&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();