American Electric Power (AEP) Assets (2009 - 2026)
American Electric Power (AEP) posted Assets of $63.47 billion for fiscal Q4 2016 (quarter ended Dec 31, 2016), up 2.9% from $61.68 billion a year earlier and up 3.3% from the prior quarter.
American Electric Power (AEP) Assets (2009 - 2026) Analysis & Trends
Since fiscal Q2 2009, American Electric Power has reported Assets for 27 quarters.
- Annual Assets has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 4.0% (FY2011 to FY2016).
- In prior fiscal years, American Electric Power's Assets was $61.68 billion in FY2015 (+3.6%), $59.54 billion in FY2014 (+5.7%), $56.32 billion in FY2013 (+3.6%) and $54.37 billion in FY2012 (+4.1%).
- The fiscal Q4 2016 figure stands as the highest quarterly Assets in data going back to fiscal Q2 2009.
- On a year-over-year basis, Assets has increased in each of the last 17 quarters, with growth averaging 3.9% over the last eight quarters.
- The year-over-year growth in Assets has ranged between 0.6% (fiscal Q3 2016) and 5.8% (fiscal Q2 2015) over the last five years.
- According to Business Quant data, Assets for the three prior fiscal quarters was $61.44 billion (Q3 2016), $63.32 billion (Q2 2016) and $62.49 billion (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 12.54 Bn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 232.81 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 162.03 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 198.05 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | 145.98 Bn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 121.57 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 121.90 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 115.28 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 79.00 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 87.17 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.57 Bn |
| Mar 31, 2026 | 117.78 Bn |
| Dec 31, 2025 | 114.46 Bn |
| Sep 30, 2025 | 110.25 Bn |
| Jun 30, 2025 | 107.78 Bn |
| Mar 31, 2025 | 104.39 Bn |
| Dec 31, 2024 | 103.08 Bn |
| Sep 30, 2024 | 100.12 Bn |
| Jun 30, 2024 | 99.62 Bn |
| Mar 31, 2024 | 97.74 Bn |
| Dec 31, 2023 | 96.68 Bn |
| Sep 30, 2023 | 95.13 Bn |
| Jun 30, 2023 | 96.00 Bn |
| Mar 31, 2023 | 94.52 Bn |
| Dec 31, 2022 | 93.40 Bn |
| Sep 30, 2022 | 91.25 Bn |
| Jun 30, 2022 | 90.86 Bn |
| Mar 31, 2022 | 89.83 Bn |
| Dec 31, 2021 | 87.67 Bn |
| Sep 30, 2021 | 86.34 Bn |
American Electric Power Assets 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=assets&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();