American Electric Power (AEP) Cash & Equivalents (2009 - 2026)
American Electric Power (AEP) posted Cash & Equivalents of $210.5 million for fiscal Q4 2016 (quarter ended Dec 31, 2016), up 19.3% from $176.4 million a year earlier but down 0.8% from the prior quarter.
American Electric Power (AEP) Cash & Equivalents (2009 - 2026) Analysis & Trends
Since fiscal Q1 2009, American Electric Power has reported Cash & Equivalents for 29 quarters.
- Annual Cash & Equivalents has increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -1.0% (FY2011 to FY2016).
- In prior fiscal years, American Electric Power's Cash & Equivalents was $176.4 million in FY2015 (+8.6%), $162.5 million in FY2014 (+38.3%), $117.5 million in FY2013 (-57.8%) and $278.7 million in FY2012 (+26.1%).
- Quarterly Cash & Equivalents has run from a low of $117 million in fiscal Q2 2013 to a high of $443 million in fiscal Q3 2012 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2014, with growth of 63.1%; the weakest was fiscal Q3 2013, with a decline of 66.8%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $212.2 million (Q3 2016), $246.8 million (Q2 2016) and $190.4 million (Q1 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 2.87 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 2.98 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 2.14 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | 505.57 Mn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 375.00 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 296.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 48.00 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 3.85 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 2.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 375.00 Mn |
| Mar 31, 2026 | 306.00 Mn |
| Dec 31, 2025 | 197.00 Mn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 227.30 Mn |
| Mar 31, 2025 | 256.80 Mn |
| Dec 31, 2024 | 203.00 Mn |
| Sep 30, 2024 | 245.80 Mn |
| Jun 30, 2024 | 202.50 Mn |
| Mar 31, 2024 | 230.70 Mn |
| Dec 31, 2023 | 330.10 Mn |
| Sep 30, 2023 | 353.30 Mn |
| Jun 30, 2023 | 304.90 Mn |
| Mar 31, 2023 | 343.50 Mn |
| Dec 31, 2022 | 509.40 Mn |
| Sep 30, 2022 | 522.20 Mn |
| Jun 30, 2022 | 575.30 Mn |
| Mar 31, 2022 | 675.60 Mn |
| Dec 31, 2021 | 403.40 Mn |
| Sep 30, 2021 | 1.37 Bn |
American Electric Power Cash & Equivalents 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=cash-and-equivalents&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();