American Electric Power (AEP) Non-Current Assets (2009 - 2026)
American Electric Power (AEP) recorded Non-Current Assets of $11.79 billion in fiscal Q4 2016 (quarter ended Dec 31, 2016), up 2.8% from $11.48 billion a year earlier and up 5.0% from the prior quarter.
American Electric Power (AEP) Non-Current Assets (2009 - 2026) Analysis & Trends
Starting with fiscal Q2 2009, American Electric Power's Non-Current Assets history includes 27 quarters.
- Annual Non-Current Assets has increased for four straight fiscal years, with a five-year compound annual growth rate of 1.3% (FY2011 to FY2016).
- Across earlier fiscal years, Non-Current Assets came in at $11.48 billion in FY2015 (+0.4%), $11.43 billion in FY2014 (+2.9%), $11.11 billion in FY2013 (+0.8%) and $11.02 billion in FY2012 (-0.5%).
- The fiscal Q4 2016 figure is the highest quarterly Non-Current Assets in data going back to fiscal Q2 2009.
- On a year-over-year basis, Non-Current Assets rose in five of the last eight quarters, with growth averaging 1.8%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 6.1% in fiscal Q2 2015, against a decline of 2.6% in fiscal Q3 2013 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $11.23 billion (Q3 2016), $11.44 billion (Q2 2016) and $11.51 billion (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 217.34 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 149.65 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 184.60 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | 135.89 Bn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 114.44 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 112.19 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 78.99 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 70.80 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 81.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.44 Bn |
| Mar 31, 2026 | 111.15 Bn |
| Dec 31, 2025 | 108.41 Bn |
| Sep 30, 2025 | 103.39 Bn |
| Jun 30, 2025 | 101.46 Bn |
| Mar 31, 2025 | 98.46 Bn |
| Dec 31, 2024 | 97.29 Bn |
| Sep 30, 2024 | 94.10 Bn |
| Jun 30, 2024 | 14.11 Bn |
| Mar 31, 2024 | 14.10 Bn |
| Dec 31, 2023 | 13.91 Bn |
| Sep 30, 2023 | 12.57 Bn |
| Jun 30, 2023 | 13.28 Bn |
| Mar 31, 2023 | 13.37 Bn |
| Dec 31, 2022 | 13.29 Bn |
| Sep 30, 2022 | 12.12 Bn |
| Jun 30, 2022 | 12.78 Bn |
| Mar 31, 2022 | 13.69 Bn |
| Dec 31, 2021 | 13.86 Bn |
| Sep 30, 2021 | 13.86 Bn |
American Electric Power Non-Current 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=non-current-assets&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();