American Electric Power (AEP) Profit After Tax (2009 - 2026)
American Electric Power (AEP) reported Profit After Tax of -$789.4 million for fiscal Q3 2016 (quarter ended Sep 30, 2016), compared with $500.4 million a year earlier.
American Electric Power (AEP) Profit After Tax (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2016, American Electric Power's Profit After Tax came in at $403 million, down 75.4% year-over-year; for FY2015 (ended Dec 31, 2015), it was $1.7 billion, up 13.5% from FY2014.
- Profit After Tax has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.1% (FY2010 to FY2015).
- By fiscal year, Profit After Tax came in at $1.5 billion in FY2014 (+6.0%), $1.42 billion in FY2013 (+16.2%) and $1.22 billion in FY2012.
- The fiscal Q3 2016 figure ranks as the lowest quarterly Profit After Tax in data going back to fiscal Q1 2009.
- Year over year, Profit After Tax gained in five of the last seven quarters, with growth averaging 3.8%.
- The high point for year-over-year Profit After Tax in five years was fiscal Q1 2014 (growth of 55.1%); the low point was fiscal Q4 2014 (a decline of 57.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2016 came in at $513.8 million (Q2 2016), $478.1 million (Q1 2016) and $200.5 million (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PAT (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 489.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 2.62 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 1.19 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 1.56 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 718.00 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 618.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 395.00 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 487.82 Mn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 586.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 718.00 Mn |
| Mar 31, 2026 | 878.00 Mn |
| Dec 31, 2025 | 584.10 Mn |
| Sep 30, 2025 | 979.20 Mn |
| Jun 30, 2025 | 1.27 Bn |
| Mar 31, 2025 | 764.00 Mn |
| Dec 31, 2024 | 639.10 Mn |
| Sep 30, 2024 | 944.40 Mn |
| Jun 30, 2024 | 317.30 Mn |
| Mar 31, 2024 | 981.20 Mn |
| Dec 31, 2023 | 340.10 Mn |
| Sep 30, 2023 | 937.00 Mn |
| Jun 30, 2023 | 496.70 Mn |
| Mar 31, 2023 | 380.20 Mn |
| Dec 31, 2022 | 353.70 Mn |
| Sep 30, 2022 | 673.10 Mn |
| Jun 30, 2022 | 685.80 Mn |
| Mar 31, 2022 | 702.40 Mn |
| Dec 31, 2021 | 522.80 Mn |
| Sep 30, 2021 | 779.90 Mn |
American Electric Power Profit After Tax 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=profit-after-tax&ticker=AEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();