American Electric Power (AEP) Tax Provisions (2009 - 2026)
American Electric Power (AEP) posted Tax Provisions of $52 million for Q2 2026, compared with -$251 million a year earlier and up 18.2% from the prior quarter.
American Electric Power (AEP) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at American Electric Power was $350.4 million; for FY2025, it came in at $129 million.
- Annual Tax Provisions shows a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- In prior years, American Electric Power's Tax Provisions was -$39 million in FY2024, $55 million in FY2023 (+918.5%), $5.4 million in FY2022 (-95.3%) and $115.5 million in FY2021 (+185.2%).
- Quarterly Tax Provisions has run from a low of -$251 million in Q2 2025 to a high of $138.7 million in Q3 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in two of the last four quarters, with growth averaging 65.1%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q3 2025, with growth of 269.9%; the weakest was Q1 2023, with a decline of 80.3%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $44 million (Q1 2026), $115.7 million (Q4 2025) and $138.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nextera Energy | 172.18 Bn | 170.30 Bn | - | 662.00 Mn |
| 2 | Southern | 106.86 Bn | 97.91 Bn | 5.92 Bn | 187.00 Mn |
| 3 | Duke Energy | 97.23 Bn | 95.83 Bn | 6.74 Bn | 333.00 Mn |
| 4 | National Grid | 85.13 Bn | 57.46 Bn | - | - |
| 5 | American Electric Power | 70.60 Bn | 68.98 Bn | 3.84 Bn | 52.00 Mn |
| 6 | Dominion Energy | 57.38 Bn | 60.06 Bn | - | 122.00 Mn |
| 7 | Sempra | 54.97 Bn | 54.10 Bn | 2.89 Bn | 112.00 Mn |
| 8 | Entergy | 50.09 Bn | 39.27 Bn | - | 131.68 Mn |
| 9 | Xcel Energy | 48.73 Bn | 43.64 Bn | - | -60.00 Mn |
| 10 | Exelon | 45.85 Bn | 41.17 Bn | - | 99.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.00 Mn |
| Mar 31, 2026 | 44.00 Mn |
| Dec 31, 2025 | 115.70 Mn |
| Sep 30, 2025 | 138.70 Mn |
| Jun 30, 2025 | -251.00 Mn |
| Mar 31, 2025 | 125.00 Mn |
| Dec 31, 2024 | 58.70 Mn |
| Sep 30, 2024 | 37.50 Mn |
| Jun 30, 2024 | 6.70 Mn |
| Mar 31, 2024 | -141.90 Mn |
| Dec 31, 2023 | -48.20 Mn |
| Sep 30, 2023 | 64.20 Mn |
| Jun 30, 2023 | 28.60 Mn |
| Mar 31, 2023 | 10.40 Mn |
| Dec 31, 2022 | -85.30 Mn |
| Sep 30, 2022 | -16.10 Mn |
| Jun 30, 2022 | 54.00 Mn |
| Mar 31, 2022 | 52.80 Mn |
| Dec 31, 2021 | -70.00 Mn |
| Sep 30, 2021 | 69.80 Mn |
American Electric Power Tax Provisions 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=tax-provisions&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();