American Electric Power (AEP) EBIT (2009 - 2026)
American Electric Power (AEP) posted EBIT of -$1.13 billion for fiscal Q3 2016 (quarter ended Sep 30, 2016), compared with $960.2 million a year earlier.
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Analysis
American Electric Power (AEP) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2016, EBIT at American Electric Power was $1.1 billion, down 66.7% year-over-year; for FY2015 (ended Dec 31, 2015), it came in at $3.33 billion, up 6.6% from FY2014.
- Annual EBIT has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 4.6% (FY2010 to FY2015).
- In prior fiscal years, American Electric Power's EBIT was $3.13 billion in FY2014 (+10.8%), $2.82 billion in FY2013 (+6.3%) and $2.66 billion in FY2012.
- The fiscal Q3 2016 figure stands as the lowest quarterly EBIT in data going back to fiscal Q1 2009.
- On a year-over-year basis, EBIT increased in five of the last seven quarters, with an average decline of 3.0%.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q4 2013, with growth of 172.3%; the weakest was fiscal Q4 2014, with a decline of 36.7%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $866.2 million (Q2 2016), $892.9 million (Q1 2016) and $466.4 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 685.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 2.24 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 1.78 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 2.73 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 1.25 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 329.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 711.00 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 850.09 Mn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 706.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Bn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.40 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.10 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 683.90 Mn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 623.20 Mn |
| Sep 30, 2023 | 1.35 Bn |
| Jun 30, 2023 | 874.70 Mn |
| Mar 31, 2023 | 704.80 Mn |
| Dec 31, 2022 | 560.10 Mn |
| Sep 30, 2022 | 930.10 Mn |
| Jun 30, 2022 | 1.00 Bn |
| Mar 31, 2022 | 988.10 Mn |
| Dec 31, 2021 | 683.70 Mn |
| Sep 30, 2021 | 1.11 Bn |
API Access
American Electric Power EBIT 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=ebit&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();