American Electric Power (AEP) Non-Current Assets (2009 - 2026)
American Electric Power (AEP) recorded Non-Current Assets of $114.44 billion in Q2 2026, up 12.8% from $101.46 billion a year earlier and up 3.0% from the prior quarter.
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Analysis
American Electric Power (AEP) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, American Electric Power reported Non-Current Assets of $108.41 billion, up 11.4% from FY2024.
- Annual Non-Current Assets has increased for three straight years, with a five-year compound annual growth rate of 54.0% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $97.29 billion in FY2024 (+599.5%), $13.91 billion in FY2023 (+4.7%), $13.29 billion in FY2022 (-4.1%) and $13.86 billion in FY2021 (+10.8%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets in data going back to Q2 2009.
- On a year-over-year basis, Non-Current Assets has increased for 13 consecutive quarters, with growth averaging 314.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 648.7% in Q3 2024, against a decline of 12.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $111.15 billion (Q1 2026), $108.41 billion (Q4 2025) and $103.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 172.18 Bn | 170.30 Bn | - | 226.47 Bn |
| 2 | Southern | 106.86 Bn | 97.91 Bn | 5.92 Bn | 149.65 Bn |
| 3 | Duke Energy | 97.23 Bn | 95.83 Bn | 6.74 Bn | 184.60 Bn |
| 4 | National Grid | 85.13 Bn | 57.46 Bn | - | 132.78 Bn |
| 5 | American Electric Power | 70.60 Bn | 68.98 Bn | 3.84 Bn | 114.44 Bn |
| 6 | Dominion Energy | 57.38 Bn | 60.06 Bn | - | 112.19 Bn |
| 7 | Sempra | 54.97 Bn | 54.10 Bn | 2.89 Bn | 78.99 Bn |
| 8 | Entergy | 50.09 Bn | 39.27 Bn | - | 70.80 Bn |
| 9 | Xcel Energy | 48.73 Bn | 43.64 Bn | - | 81.08 Bn |
| 10 | Exelon | 45.85 Bn | 41.17 Bn | - | 110.71 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();