American Electric Power (AEP) EBITDA (2009 - 2026)
American Electric Power's EBITDA came in at -$588.6 million for fiscal Q3 2016 (quarter ended Sep 30, 2016), compared with $1.5 billion a year earlier.
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Analysis
American Electric Power (AEP) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2016, American Electric Power reported EBITDA of $3.13 billion, down 41.0% year-over-year; for FY2015 (ended Dec 31, 2015), it came in at $5.34 billion, up 6.3% from FY2014.
- EBITDA has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 4.4% (FY2010 to FY2015).
- Going back by fiscal year, EBITDA was $5.03 billion in FY2014 (+10.8%), $4.54 billion in FY2013 (+2.2%) and $4.44 billion in FY2012.
- The fiscal Q3 2016 figure represents the lowest quarterly EBITDA in data going back to fiscal Q1 2009.
- Year-over-year, EBITDA increased in five of the last seven quarters, with growth averaging 0.1%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2013 (growth of 59.4%), and the weakest in fiscal Q2 2013 (a decline of 17.6%).
- Business Quant data shows AEP's EBITDA at $1.38 billion (Q2 2016), $1.39 billion (Q1 2016) and $948.1 million (Q4 2015) in the three fiscal quarters before Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | 487.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 4.00 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 3.37 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 4.61 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 2.16 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 1.02 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 1.32 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 1.52 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 1.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.16 Bn |
| Mar 31, 2026 | 2.27 Bn |
| Dec 31, 2025 | 1.93 Bn |
| Sep 30, 2025 | 2.40 Bn |
| Jun 30, 2025 | 2.25 Bn |
| Mar 31, 2025 | 2.12 Bn |
| Dec 31, 2024 | 1.92 Bn |
| Sep 30, 2024 | 2.20 Bn |
| Jun 30, 2024 | 1.51 Bn |
| Mar 31, 2024 | 1.96 Bn |
| Dec 31, 2023 | 1.40 Bn |
| Sep 30, 2023 | 2.15 Bn |
| Jun 30, 2023 | 1.62 Bn |
| Mar 31, 2023 | 1.48 Bn |
| Dec 31, 2022 | 1.35 Bn |
| Sep 30, 2022 | 1.75 Bn |
| Jun 30, 2022 | 1.81 Bn |
| Mar 31, 2022 | 1.78 Bn |
| Dec 31, 2021 | 1.41 Bn |
| Sep 30, 2021 | 1.81 Bn |
API Access
American Electric Power EBITDA 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=ebitda&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();