American Electric Power (AEP) Return on Assets [ROA] (2009 - 2026)
American Electric Power's Return on Assets [ROA] was 1.14% in fiscal Q3 2016 (quarter ended Sep 30, 2016), down 1.76 percentage points from 2.91% a year earlier and down 2.03 percentage points from the prior quarter.
American Electric Power (AEP) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2015 (ended Dec 31, 2015), Return on Assets [ROA] at American Electric Power came in at 3.39%, up 0.56 percentage points from FY2014.
- Return on Assets [ROA] has now increased for three consecutive fiscal years, with a five-year change of +0.92 percentage points (FY2010 to FY2015).
- In earlier fiscal years, Return on Assets [ROA] was 2.83% in FY2014 (+0.15 pp), 2.68% in FY2013 (+0.31 pp) and 2.37% in FY2012.
- The fiscal Q3 2016 figure marks the lowest quarterly Return on Assets [ROA] in data going back to fiscal Q3 2009.
- Compared with a year earlier, Return on Assets [ROA] was higher in four of the last eight quarters, with an average year-over-year change of -0.12 percentage points.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q3 2014 (a gain of 1.00 percentage points); the worst was fiscal Q3 2013 (a drop of 1.94 percentage points).
- Per Business Quant data, AEP's Return on Assets [ROA] in the three fiscal quarters before Q3 2016 was 3.18% (Q2 2016), 3.10% (Q1 2016) and 3.34% (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 22.62% |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 3.32% |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 2.87% |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 2.66% |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 2.66% |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 2.08% |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 2.38% |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 2.35% |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 2.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.66% |
| Mar 31, 2026 | 3.22% |
| Dec 31, 2025 | 3.23% |
| Sep 30, 2025 | 3.41% |
| Jun 30, 2025 | 3.49% |
| Mar 31, 2025 | 2.67% |
| Dec 31, 2024 | 2.93% |
| Sep 30, 2024 | 2.65% |
| Jun 30, 2024 | 2.68% |
| Mar 31, 2024 | 2.90% |
| Dec 31, 2023 | 2.31% |
| Sep 30, 2023 | 2.36% |
| Jun 30, 2023 | 2.08% |
| Mar 31, 2023 | 2.12% |
| Dec 31, 2022 | 2.50% |
| Sep 30, 2022 | 2.70% |
| Jun 30, 2022 | 2.85% |
| Mar 31, 2022 | 2.96% |
| Dec 31, 2021 | 2.86% |
| Sep 30, 2021 | 2.79% |
American Electric Power Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();