American Eagle Outfitters (AEO) EBITDA (2009 - 2026)
American Eagle Outfitters (AEO) recorded EBITDA of $270.99 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 67.3% from $161.99 million a year earlier and up 240.1% from the prior quarter.
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Analysis
American Eagle Outfitters (AEO) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, American Eagle Outfitters' EBITDA came in at $668.75 million as of Aug 1, 2026, up 36.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $448.4 million, down 30.8% from FY2025.
- Across earlier fiscal years, EBITDA came in at $647.83 million in FY2025 (+41.5%), $457.93 million in FY2024 (-0.4%), $459.55 million in FY2023 (-39.7%) and $762.22 million in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly EBITDA in data going back to fiscal Q2 2010.
- On a year-over-year basis, EBITDA rose in four of the last six quarters, with growth averaging 37.2%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 185.1% in fiscal Q4 2025, against a decline of 68.3% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $79.68 million (Q1 2027), $150.46 million (Q4 2026) and $167.62 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.08 Bn |
| 10 | American Eagle Outfitters | 2.98 Bn | 2.37 Bn | 672.06 Mn | 270.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 270.99 Mn |
| May 2, 2026 | 79.68 Mn |
| Jan 31, 2026 | 150.46 Mn |
| Nov 1, 2025 | 167.62 Mn |
| Aug 2, 2025 | 161.99 Mn |
| May 3, 2025 | -31.67 Mn |
| Feb 1, 2025 | 199.27 Mn |
| Nov 2, 2024 | 159.85 Mn |
| Aug 3, 2024 | 155.78 Mn |
| May 4, 2024 | 132.93 Mn |
| Feb 3, 2024 | 69.89 Mn |
| Oct 28, 2023 | 184.62 Mn |
| Jul 29, 2023 | 122.65 Mn |
| Apr 29, 2023 | 80.76 Mn |
| Jan 28, 2023 | 135.62 Mn |
| Oct 29, 2022 | 169.95 Mn |
| Jul 30, 2022 | 63.42 Mn |
| Apr 30, 2022 | 90.55 Mn |
| Jan 29, 2022 | 128.20 Mn |
| Oct 30, 2021 | 251.77 Mn |
API Access
American Eagle Outfitters EBITDA 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=ebitda&ticker=AEO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();