American Electric Power (AEP) Capital Expenditures (2009 - 2026)
American Electric Power (AEP) reported Capital Expenditures of $1.1 billion for fiscal Q3 2016 (quarter ended Sep 30, 2016), unchanged from $1.1 billion a year earlier and up 1.7% from the prior quarter.
American Electric Power (AEP) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2016, American Electric Power's Capital Expenditures came in at $4.61 billion, up 2.1% year-over-year; for FY2015 (ended Dec 31, 2015), it came in at $4.51 billion, up 9.2% from FY2014.
- Capital Expenditures has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 14.0% (FY2010 to FY2015).
- By fiscal year, Capital Expenditures came in at $4.13 billion in FY2014 (+14.2%), $3.62 billion in FY2013 (+19.6%) and $3.03 billion in FY2012.
- Five-year quarterly Capital Expenditures spans a low of $630 million in fiscal Q2 2012 and a high of $1.23 billion in fiscal Q4 2014.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 7.3%.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q2 2013 (growth of 26.0%); the low point was fiscal Q2 2016 (a decline of 2.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2016 came in at $1.08 billion (Q2 2016), $1.2 billion (Q1 2016) and $1.23 billion (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (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 | 3.70 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 4.09 Bn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | - |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 2.78 Bn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 2.78 Bn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 2.23 Bn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 2.78 Bn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 2.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.78 Bn |
| Mar 31, 2026 | 2.83 Bn |
| Dec 31, 2025 | 2.45 Bn |
| Sep 30, 2025 | 1.98 Bn |
| Jun 30, 2025 | 1.92 Bn |
| Mar 31, 2025 | 2.10 Bn |
| Dec 31, 2024 | 2.46 Bn |
| Sep 30, 2024 | 1.85 Bn |
| Jun 30, 2024 | 1.56 Bn |
| Mar 31, 2024 | 1.76 Bn |
| Dec 31, 2023 | 1.61 Bn |
| Sep 30, 2023 | 1.72 Bn |
| Jun 30, 2023 | 1.96 Bn |
| Mar 31, 2023 | 2.09 Bn |
| Dec 31, 2022 | 1.92 Bn |
| Sep 30, 2022 | 1.61 Bn |
| Jun 30, 2022 | 1.45 Bn |
| Mar 31, 2022 | 1.69 Bn |
| Dec 31, 2021 | 1.57 Bn |
| Sep 30, 2021 | 1.30 Bn |
American Electric Power Capital Expenditures 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=capital-expenditures&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();