American Electric Power (AEP) EBITDA Margin (2009 - 2026)
American Electric Power's EBITDA Margin was -12.65% in fiscal Q3 2016 (quarter ended Sep 30, 2016), down 46.39 percentage points from 33.74% a year earlier and down 48.10 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 19.31% through Sep 30, 2016, down 12.53 percentage points year-over-year; for FY2015 (ended Dec 31, 2015), it was 32.48%, up 1.79 percentage points from FY2014.
- EBITDA Margin has now increased for three consecutive fiscal years, with a five-year change of +2.64 percentage points (FY2010 to FY2015).
- In earlier fiscal years, EBITDA Margin was 30.68% in FY2014 (+0.07 pp), 30.61% in FY2013 (+0.92 pp) and 29.70% in FY2012.
- The fiscal Q3 2016 figure marks the lowest quarterly EBITDA Margin in data going back to fiscal Q1 2009.
- Compared with a year earlier, EBITDA Margin was higher in four of the last eight quarters, with an average year-over-year change of -5.46 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q4 2013 (a gain of 9.87 percentage points); the worst was fiscal Q3 2016 (a drop of 46.39 percentage points).
- Per Business Quant data, AEP's EBITDA Margin in the three fiscal quarters before Q3 2016 was 35.45% (Q2 2016), 34.36% (Q1 2016) and 26.23% (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 21.47% |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 53.03% |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 48.33% |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 50.22% |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 39.61% |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 22.66% |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 44.14% |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 43.18% |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 43.70% |
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 | 40.98% |
| Sep 30, 2024 | 40.67% |
| Jun 30, 2024 | 32.88% |
| Mar 31, 2024 | 38.99% |
| Dec 31, 2023 | 30.67% |
| Sep 30, 2023 | 40.17% |
| Jun 30, 2023 | 36.97% |
| Mar 31, 2023 | 31.56% |
| Dec 31, 2022 | 27.58% |
| Sep 30, 2022 | 31.70% |
| Jun 30, 2022 | 38.95% |
| Mar 31, 2022 | 38.77% |
| Dec 31, 2021 | 34.61% |
| Sep 30, 2021 | 39.10% |
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_KEYimport 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();