American Eagle Outfitters (AEO) Cash from Operations (2009 - 2026)
American Eagle Outfitters (AEO) recorded Cash from Operations of $181.55 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 552.7% from $27.81 million a year earlier.
American Eagle Outfitters (AEO) Cash from Operations (2009 - 2026) Analysis & Trends
On a TTM basis, American Eagle Outfitters' Cash from Operations came in at $599.37 million as of Aug 1, 2026, up 46.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $456.18 million, down 4.3% from FY2025.
- Annual Cash from Operations has a five-year compound annual growth rate of 17.6% (FY2021 to FY2026).
- Across earlier fiscal years, Cash from Operations came in at $476.8 million in FY2025 (-17.9%), $580.71 million in FY2024 (+42.9%), $406.3 million in FY2023 (+33.8%) and $303.67 million in FY2022 (+50.0%).
- Quarterly Cash from Operations has ranged from -$108.25 million in fiscal Q1 2023 to $493 million in fiscal Q4 2023 over the past five years.
- On a year-over-year basis, Cash from Operations rose in four of the last six quarters, with growth averaging 82.0%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 786.6% in fiscal Q3 2024, against a decline of 97.3% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$65.22 million (Q1 2027), $415.89 million (Q4 2026) and $67.15 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 45.39 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 5.39 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.23 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.66 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 875.76 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.80 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.01 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 238.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 801.99 Mn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 181.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 181.55 Mn |
| May 2, 2026 | -65.22 Mn |
| Jan 31, 2026 | 415.89 Mn |
| Nov 1, 2025 | 67.15 Mn |
| Aug 2, 2025 | 27.81 Mn |
| May 3, 2025 | -54.67 Mn |
| Feb 1, 2025 | 383.75 Mn |
| Nov 2, 2024 | 52.91 Mn |
| Aug 3, 2024 | 78.25 Mn |
| May 4, 2024 | -38.11 Mn |
| Feb 3, 2024 | 296.37 Mn |
| Oct 28, 2023 | 136.45 Mn |
| Jul 29, 2023 | 156.11 Mn |
| Apr 29, 2023 | -8.22 Mn |
| Jan 28, 2023 | 493.00 Mn |
| Oct 29, 2022 | 15.39 Mn |
| Jul 30, 2022 | 6.15 Mn |
| Apr 30, 2022 | -108.25 Mn |
| Jan 29, 2022 | 169.97 Mn |
| Oct 30, 2021 | 11.81 Mn |
American Eagle Outfitters Cash from Operations 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=cash-from-operations&ticker=AEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();