American Electric Power (AEP) Shares Outstanding (Entity) (2009 - 2026)
American Electric Power (AEP) reported Shares Outstanding (Entity) of 491.71 million for fiscal Q3 2016 (quarter ended Sep 30, 2016), up 0.2% from 490.82 million a year earlier and unchanged from the prior quarter.
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Analysis
American Electric Power (AEP) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2015 (ended Dec 31, 2015), American Electric Power posted Shares Outstanding (Entity) of 491.05 million, up 0.3% from FY2014.
- Shares Outstanding (Entity) has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 0.4% (FY2010 to FY2015).
- By fiscal year, Shares Outstanding (Entity) came in at 489.4 million in FY2014 (+0.6%), 486.62 million in FY2013 (+0.4%) and 484.68 million in FY2012.
- The fiscal Q3 2016 figure ranks as the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q1 2009.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last 15 quarters, with growth averaging 0.3% over the last eight quarters.
- Per Business Quant data, the three fiscal quarters before Q3 2016 came in at 491.71 million (Q2 2016), 491.31 million (Q1 2016) and 491.05 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 285.66 Bn | 285.66 Bn | 890.00 Mn | - |
| 2 | Nextera Energy | 159.27 Bn | 160.17 Bn | - | 2.09 Bn |
| 3 | Southern | 96.02 Bn | 87.08 Bn | 5.92 Bn | 1.15 Bn |
| 4 | Duke Energy | 88.50 Bn | 87.10 Bn | 6.74 Bn | 778.00 Mn |
| 5 | National Grid | 78.31 Bn | 59.83 Bn | - | 1.04 Bn |
| 6 | American Electric Power | 65.19 Bn | 63.57 Bn | 3.84 Bn | 544.40 Mn |
| 7 | Dominion Energy | 53.46 Bn | 56.14 Bn | - | 880.00 Mn |
| 8 | Sempra | 51.03 Bn | 50.16 Bn | 2.89 Bn | 653.75 Mn |
| 9 | Entergy | 46.86 Bn | 36.05 Bn | - | 466.63 Mn |
| 10 | Xcel Energy | 44.05 Bn | 38.96 Bn | - | 624.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 544.40 Mn |
| Mar 31, 2026 | 544.10 Mn |
| Dec 31, 2025 | 540.86 Mn |
| Sep 30, 2025 | 535.27 Mn |
| Jun 30, 2025 | 534.30 Mn |
| Mar 31, 2025 | 533.40 Mn |
| Dec 31, 2024 | 532.91 Mn |
| Sep 30, 2024 | 532.57 Mn |
| Jun 30, 2024 | 532.12 Mn |
| Mar 31, 2024 | 527.12 Mn |
| Dec 31, 2023 | 526.18 Mn |
| Sep 30, 2023 | 525.88 Mn |
| Jun 30, 2023 | 515.18 Mn |
| Mar 31, 2023 | 514.79 Mn |
| Dec 31, 2022 | 513.87 Mn |
| Sep 30, 2022 | 513.86 Mn |
| Jun 30, 2022 | 513.73 Mn |
| Mar 31, 2022 | 513.54 Mn |
| Dec 31, 2021 | 504.21 Mn |
| Sep 30, 2021 | 503.65 Mn |
API Access
American Electric Power Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=AEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=AEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();