American Electric Power (AEP) Cash & Equivalents (2009 - 2026)
American Electric Power (AEP) posted Cash & Equivalents of $375 million for Q2 2026, up 65.0% from $227.3 million a year earlier and up 22.5% from the prior quarter.
American Electric Power (AEP) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, American Electric Power's Cash & Equivalents came in at $197 million, down 3.0% from FY2024.
- Annual Cash & Equivalents has declined for three consecutive years, with a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- In prior years, American Electric Power's Cash & Equivalents was $203 million in FY2024 (-38.5%), $330.1 million in FY2023 (-35.2%), $509.4 million in FY2022 (+26.3%) and $403.4 million in FY2021 (+2.7%).
- Quarterly Cash & Equivalents has run from a low of $197 million in Q4 2025 to a high of $1.37 billion in Q3 2021 over five years.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 46.3%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 334.4%; the weakest was Q3 2022, with a decline of 62.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $306 million (Q1 2026), $197 million (Q4 2025) and $1.07 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 162.78 Bn | 152.72 Bn | - | 2.87 Bn |
| 2 | Southern | 100.19 Bn | 91.25 Bn | 5.92 Bn | 2.98 Bn |
| 3 | Duke Energy | 91.91 Bn | 88.50 Bn | 6.74 Bn | 2.14 Bn |
| 4 | National Grid | 77.40 Bn | 49.69 Bn | - | 493.98 Mn |
| 5 | American Electric Power | 68.36 Bn | 65.53 Bn | 3.84 Bn | 375.00 Mn |
| 6 | Dominion Energy | 54.82 Bn | 52.81 Bn | - | 296.00 Mn |
| 7 | Sempra | 53.87 Bn | 52.99 Bn | 2.89 Bn | 48.00 Mn |
| 8 | Entergy | 48.18 Bn | 37.31 Bn | - | 3.85 Bn |
| 9 | Xcel Energy | 46.63 Bn | 41.53 Bn | - | 2.01 Bn |
| 10 | Exelon | 43.40 Bn | 38.71 Bn | - | 1.81 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();