American Electric Power (AEP) Operating Margin (2009 - 2026)
American Electric Power (AEP) reported Operating Margin of -24.24% for fiscal Q3 2016 (quarter ended Sep 30, 2016), down 45.91 percentage points from 21.67% a year earlier and down 46.50 percentage points from the prior quarter.
American Electric Power (AEP) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2016, American Electric Power's Operating Margin came in at 6.77%, down 13.02 percentage points year-over-year; for FY2015 (ended Dec 31, 2015), it was 20.26%, up 1.17 percentage points from FY2014.
- Operating Margin has increased for three consecutive fiscal years, with a five-year change of +1.80 percentage points (FY2010 to FY2015).
- By fiscal year, Operating Margin came in at 19.09% in FY2014 (+0.04 pp), 19.05% in FY2013 (+1.28 pp) and 17.77% in FY2012.
- The fiscal Q3 2016 figure ranks as the lowest quarterly Operating Margin in data going back to fiscal Q1 2009.
- Year over year, Operating Margin gained in four of the last eight quarters, with an average year-over-year change of -6.15 percentage points.
- The high point for year-over-year Operating Margin in five years was fiscal Q4 2013 (a gain of 11.08 percentage points); the low point was fiscal Q3 2016 (a drop of 45.91 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2016 came in at 22.25% (Q2 2016), 22.07% (Q1 2016) and 12.90% (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 30.20% |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 29.71% |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 25.46% |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 29.69% |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 22.90% |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 7.34% |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 23.72% |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 24.13% |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 22.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.90% |
| Mar 31, 2026 | 22.59% |
| Dec 31, 2025 | 20.96% |
| Sep 30, 2025 | 25.31% |
| Jun 30, 2025 | 27.50% |
| Mar 31, 2025 | 23.50% |
| Dec 31, 2024 | 23.34% |
| Sep 30, 2024 | 24.93% |
| Jun 30, 2024 | 14.93% |
| Mar 31, 2024 | 23.33% |
| Dec 31, 2023 | 13.62% |
| Sep 30, 2023 | 25.33% |
| Jun 30, 2023 | 20.00% |
| Mar 31, 2023 | 15.02% |
| Dec 31, 2022 | 11.47% |
| Sep 30, 2022 | 16.83% |
| Jun 30, 2022 | 21.65% |
| Mar 31, 2022 | 21.52% |
| Dec 31, 2021 | 16.83% |
| Sep 30, 2021 | 23.95% |
American Electric Power Operating 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=operating-margin&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();