American Electric Power (AEP) Price to Earnings (2009 - 2026)
American Electric Power's (AEP) Price to Earnings stood at 44.65 in fiscal Q3 2016 (quarter ended Sep 30, 2016), up 182.9% from 15.78 a year earlier and up 158.0% from the prior quarter.
American Electric Power (AEP) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2015 (ended Dec 31, 2015), American Electric Power's Price to Earnings came in at 13.98, down 23.2% from FY2014.
- Across earlier fiscal years, Price to Earnings came in at 18.19 in FY2014 (+18.4%), 15.36 in FY2013 (-6.5%) and 16.43 in FY2012.
- The fiscal Q3 2016 figure is the highest quarterly Price to Earnings in data going back to fiscal Q1 2009.
- On a year-over-year basis, Price to Earnings has increased for three consecutive quarters, with growth averaging 26.8% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 182.9% in fiscal Q3 2016, against a decline of 23.2% in fiscal Q4 2015 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 17.31 (Q2 2016), 17.00 (Q1 2016) and 13.98 (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.97 |
| Mar 31, 2026 | 24.97 |
| Dec 31, 2025 | 23.29 |
| Sep 30, 2025 | 25.56 |
| Jun 30, 2025 | 21.68 |
| Mar 31, 2025 | 24.49 |
| Dec 31, 2024 | 16.57 |
| Sep 30, 2024 | 20.70 |
| Jun 30, 2024 | 17.73 |
| Mar 31, 2024 | 16.13 |
| Dec 31, 2023 | 19.35 |
| Sep 30, 2023 | 17.53 |
| Jun 30, 2023 | 21.84 |
| Mar 31, 2023 | 23.54 |
| Dec 31, 2022 | 21.15 |
| Sep 30, 2022 | 18.05 |
| Jun 30, 2022 | 19.15 |
| Mar 31, 2022 | 19.50 |
| Dec 31, 2021 | 18.03 |
| Sep 30, 2021 | 17.15 |
American Electric Power Price to Earnings 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=price-to-earnings&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();