American Electric Power (AEP) Total Current Liabilities (2009 - 2026)
American Electric Power (AEP) reported Total Current Liabilities of $9.5 billion for fiscal Q4 2016 (quarter ended Dec 31, 2016), up 33.6% from $7.11 billion a year earlier and up 22.1% from the prior quarter.
American Electric Power (AEP) Total Current Liabilities (2009 - 2026) Analysis & Trends
Dating back to fiscal Q2 2009, American Electric Power's Total Current Liabilities record includes 27 quarters.
- Total Current Liabilities has a five-year compound annual growth rate of 7.5% (FY2011 to FY2016).
- By fiscal year, Total Current Liabilities came in at $7.11 billion in FY2015 (-10.8%), $7.97 billion in FY2014 (+30.3%), $6.11 billion in FY2013 (-10.4%) and $6.82 billion in FY2012 (+3.2%).
- The fiscal Q4 2016 figure ranks as the highest quarterly Total Current Liabilities in data going back to fiscal Q2 2009.
- Year over year, Total Current Liabilities has now increased in each of the last four quarters, with growth averaging 5.5% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q4 2016 (growth of 33.6%); the low point was fiscal Q3 2013 (a decline of 16.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2016 came in at $7.78 billion (Q3 2016), $7.87 billion (Q2 2016) and $7.22 billion (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 2.23 Bn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 28.97 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 15.73 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 20.33 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | -13.21 Bn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 14.16 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 12.01 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 22.11 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 9.00 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 8.67 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.16 Bn |
| Mar 31, 2026 | 12.59 Bn |
| Dec 31, 2025 | 13.31 Bn |
| Sep 30, 2025 | 10.00 Bn |
| Jun 30, 2025 | 11.44 Bn |
| Mar 31, 2025 | 14.24 Bn |
| Dec 31, 2024 | 13.01 Bn |
| Sep 30, 2024 | 10.65 Bn |
| Jun 30, 2024 | 10.16 Bn |
| Mar 31, 2024 | 10.91 Bn |
| Dec 31, 2023 | 11.58 Bn |
| Sep 30, 2023 | 11.28 Bn |
| Jun 30, 2023 | 13.27 Bn |
| Mar 31, 2023 | 12.62 Bn |
| Dec 31, 2022 | 13.27 Bn |
| Sep 30, 2022 | 11.84 Bn |
| Jun 30, 2022 | 12.45 Bn |
| Mar 31, 2022 | 13.57 Bn |
| Dec 31, 2021 | 12.43 Bn |
| Sep 30, 2021 | 9.95 Bn |
American Electric Power Total Current 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-current-liabilities&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();