American Electric Power (AEP) Enterprise Value (2009 - 2026)
American Electric Power (AEP) posted Enterprise Value of $30.44 billion for fiscal Q4 2016 (quarter ended Dec 31, 2016), up 8.5% from $28.06 billion a year earlier but down 2.1% from the prior quarter.
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Analysis
American Electric Power (AEP) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2016 (ended Dec 31, 2016), American Electric Power's Enterprise Value came in at $30.4 billion, up 8.3% from FY2015.
- Annual Enterprise Value shows a five-year compound annual growth rate of 9.5% (FY2011 to FY2016).
- In prior fiscal years, American Electric Power's Enterprise Value was $28.06 billion in FY2015 (-3.8%), $29.17 billion in FY2014 (+31.0%), $22.28 billion in FY2013 (+10.9%) and $20.08 billion in FY2012 (+3.8%).
- Quarterly Enterprise Value has run from a low of $18.18 billion in fiscal Q1 2012 to a high of $33.93 billion in fiscal Q2 2016 over five years.
- On a year-over-year basis, Enterprise Value has increased in each of the last four quarters, with growth averaging 10.9% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q2 2016, with growth of 33.4%; the weakest was fiscal Q2 2015, with a decline of 4.7%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $31.1 billion (Q3 2016), $33.93 billion (Q2 2016) and $32.18 billion (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.09 Bn |
| Mar 31, 2026 | 71.98 Bn |
| Dec 31, 2025 | 63.03 Bn |
| Sep 30, 2025 | 60.01 Bn |
| Jun 30, 2025 | 56.10 Bn |
| Mar 31, 2025 | 57.87 Bn |
| Dec 31, 2024 | 48.77 Bn |
| Sep 30, 2024 | 54.21 Bn |
| Jun 30, 2024 | 46.30 Bn |
| Mar 31, 2024 | 44.98 Bn |
| Dec 31, 2023 | 42.23 Bn |
| Sep 30, 2023 | 39.03 Bn |
| Jun 30, 2023 | 43.09 Bn |
| Mar 31, 2023 | 46.53 Bn |
| Dec 31, 2022 | 48.32 Bn |
| Sep 30, 2022 | 43.93 Bn |
| Jun 30, 2022 | 48.76 Bn |
| Mar 31, 2022 | 50.60 Bn |
| Dec 31, 2021 | 44.48 Bn |
| Sep 30, 2021 | 39.54 Bn |
API Access
American Electric Power Enterprise Value 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=enterprise-value&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();