American Eagle Outfitters (AEO) Shares Outstanding (2009 - 2026)
American Eagle Outfitters' Shares Outstanding was 167.06 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.2% from 170.76 million a year earlier and down 0.5% from the prior quarter.
American Eagle Outfitters (AEO) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shares Outstanding at American Eagle Outfitters came in at 172.17 million, down 10.8% from FY2025.
- Shares Outstanding shows a five-year compound annual growth rate of 0.7% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding was 193.06 million in FY2025 (-1.3%), 195.65 million in FY2024 (+7.6%), 181.78 million in FY2023 (+8.1%) and 168.16 million in FY2022 (+1.0%).
- The fiscal Q2 2027 figure marks the lowest quarterly Shares Outstanding since fiscal Q1 2022.
- Compared with a year earlier, Shares Outstanding has declined for nine straight quarters, with an average decline of 6.9% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q1 2024 (growth of 15.4%); the worst was fiscal Q3 2026 (a decline of 11.8%).
- Per Business Quant data, AEO's Shares Outstanding in the three fiscal quarters before Q2 2027 was 167.84 million (Q1 2027), 172.17 million (Q4 2026) and 168.93 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 167.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 167.06 Mn |
| May 2, 2026 | 167.84 Mn |
| Jan 31, 2026 | 172.17 Mn |
| Nov 1, 2025 | 168.93 Mn |
| Aug 2, 2025 | 170.76 Mn |
| May 3, 2025 | 179.55 Mn |
| Feb 1, 2025 | 193.06 Mn |
| Nov 2, 2024 | 191.63 Mn |
| Aug 3, 2024 | 193.66 Mn |
| May 4, 2024 | 196.43 Mn |
| Feb 3, 2024 | 195.65 Mn |
| Oct 28, 2023 | 195.34 Mn |
| Jul 29, 2023 | 195.33 Mn |
| Apr 29, 2023 | 194.49 Mn |
| Jan 28, 2023 | 181.78 Mn |
| Oct 29, 2022 | 186.31 Mn |
| Jul 30, 2022 | 180.19 Mn |
| Apr 30, 2022 | 168.46 Mn |
| Jan 29, 2022 | 168.16 Mn |
| Oct 30, 2021 | 167.64 Mn |
American Eagle Outfitters Shares Outstanding 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&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "AEO", "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&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();