American Electric Power (AEP) Total Liabilities (2009 - 2026)
American Electric Power (AEP) reported Total Liabilities of $46.05 billion for fiscal Q4 2016 (quarter ended Dec 31, 2016), up 5.2% from $43.78 billion a year earlier and up 4.4% from the prior quarter.
Powered by 
Analysis
American Electric Power (AEP) Total Liabilities (2009 - 2026) Analysis & Trends
Dating back to fiscal Q2 2009, American Electric Power's Total Liabilities record includes 27 quarters.
- Total Liabilities has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 4.2% (FY2011 to FY2016).
- By fiscal year, Total Liabilities came in at $43.78 billion in FY2015 (+2.5%), $42.72 billion in FY2014 (+6.2%), $40.24 billion in FY2013 (+2.8%) and $39.13 billion in FY2012 (+4.2%).
- The fiscal Q4 2016 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q2 2009.
- Year over year, Total Liabilities has now increased in each of the last 17 quarters, with growth averaging 4.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 1.6% (fiscal Q3 2016) to 6.2% (fiscal Q4 2014).
- Per Business Quant data, the three fiscal quarters before Q4 2016 came in at $44.1 billion (Q3 2016), $44.91 billion (Q2 2016) and $44.34 billion (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 6.83 Bn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 164.71 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 104.13 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 141.57 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | 92.96 Bn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 88.28 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 88.29 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 75.28 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 60.68 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 63.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.28 Bn |
| Mar 31, 2026 | 84.80 Bn |
| Dec 31, 2025 | 82.24 Bn |
| Sep 30, 2025 | 78.77 Bn |
| Jun 30, 2025 | 76.81 Bn |
| Mar 31, 2025 | 77.03 Bn |
| Dec 31, 2024 | 76.09 Bn |
| Sep 30, 2024 | 73.46 Bn |
| Jun 30, 2024 | 73.45 Bn |
| Mar 31, 2024 | 71.90 Bn |
| Dec 31, 2023 | 71.40 Bn |
| Sep 30, 2023 | 69.78 Bn |
| Jun 30, 2023 | 71.88 Bn |
| Mar 31, 2023 | 70.55 Bn |
| Dec 31, 2022 | 69.28 Bn |
| Sep 30, 2022 | 66.74 Bn |
| Jun 30, 2022 | 66.56 Bn |
| Mar 31, 2022 | 65.79 Bn |
| Dec 31, 2021 | 64.99 Bn |
| Sep 30, 2021 | 63.81 Bn |
API Access
American Electric Power Total Liabilities 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=total-liabilities&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();