American Eagle Outfitters (AEO) Tax Provisions (2009 - 2026)
American Eagle Outfitters' Tax Provisions came in at $44.37 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 87.2% from $23.71 million a year earlier and up 852.5% from the prior quarter.
American Eagle Outfitters (AEO) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, American Eagle Outfitters reported Tax Provisions of $108.9 million, up 43.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $63.87 million, down 43.4% from FY2025.
- Going back by fiscal year, Tax Provisions was $112.9 million in FY2025 (+61.7%), $69.82 million in FY2024 (+30.9%), $53.36 million in FY2023 (-61.7%) and $139.29 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Tax Provisions since fiscal Q3 2022.
- Year-over-year, Tax Provisions increased in three of the last six quarters, with growth averaging 66.5%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q4 2025 (growth of 363.2%), and the weakest in fiscal Q4 2024 (a decline of 44.4%).
- Business Quant data shows AEO's Tax Provisions at $4.66 million (Q1 2027), $26.64 million (Q4 2026) and $33.24 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,838.51 Bn | 2,355.21 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 312.52 Bn | 305.76 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 161.74 Bn | 139.28 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 109.87 Bn | 102.83 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 75.35 Bn | 58.27 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 73.37 Bn | 72.46 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 70.09 Bn | 64.68 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 51.74 Bn | 50.64 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 43.39 Bn | 33.88 Bn | 1.38 Bn | 66.00 Mn |
| 10 | American Eagle Outfitters | 2.95 Bn | 2.35 Bn | 672.06 Mn | 44.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 44.37 Mn |
| May 2, 2026 | 4.66 Mn |
| Jan 31, 2026 | 26.64 Mn |
| Nov 1, 2025 | 33.24 Mn |
| Aug 2, 2025 | 23.71 Mn |
| May 3, 2025 | -19.71 Mn |
| Feb 1, 2025 | 43.48 Mn |
| Nov 2, 2024 | 28.21 Mn |
| Aug 3, 2024 | 26.29 Mn |
| May 4, 2024 | 14.92 Mn |
| Feb 3, 2024 | 9.39 Mn |
| Oct 28, 2023 | 35.52 Mn |
| Jul 29, 2023 | 17.92 Mn |
| Apr 29, 2023 | 7.00 Mn |
| Jan 28, 2023 | 16.89 Mn |
| Oct 29, 2022 | 31.62 Mn |
| Jul 30, 2022 | -5.17 Mn |
| Apr 30, 2022 | 10.02 Mn |
| Jan 29, 2022 | 17.07 Mn |
| Oct 30, 2021 | 51.98 Mn |
American Eagle Outfitters Tax Provisions 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=tax-provisions&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();