American Electric Power (AEP) Tax Provisions (2009 - 2026)
American Electric Power (AEP) posted Tax Provisions of -$534.5 million for fiscal Q3 2016 (quarter ended Sep 30, 2016), compared with $275.6 million a year earlier.
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Analysis
American Electric Power (AEP) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2016, Tax Provisions at American Electric Power was -$41.5 million; for FY2015 (ended Dec 31, 2015), it came in at $919.6 million, up 1.9% from FY2014.
- Annual Tax Provisions has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.4% (FY2010 to FY2015).
- In prior fiscal years, American Electric Power's Tax Provisions was $902.6 million in FY2014 (+33.2%), $677.7 million in FY2013 (+12.2%) and $604 million in FY2012.
- The fiscal Q3 2016 figure stands as the lowest quarterly Tax Provisions in data going back to fiscal Q1 2009.
- On a year-over-year basis, Tax Provisions increased in three of the last seven quarters, with an average decline of 12.3%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q2 2014, with growth of 216.2%; the weakest was fiscal Q2 2013, with a decline of 64.2%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $165 million (Q2 2016), $235.5 million (Q1 2016) and $92.5 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | -98.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | -84.00 Mn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 187.00 Mn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 333.00 Mn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 52.00 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 122.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 112.00 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 131.68 Mn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | -60.00 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();