Abercrombie & Fitch (ANF) EBITDA (2010 - 2026)
Abercrombie & Fitch (ANF) posted EBITDA of $300.41 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 20.6% from $249.02 million a year earlier and up 123.8% from the prior quarter.
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Analysis
Abercrombie & Fitch (ANF) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, EBITDA at Abercrombie & Fitch was $914.28 million, up 0.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $873.5 million, down 4.0% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 43.1% (FY2021 to FY2026).
- In prior fiscal years, Abercrombie & Fitch's EBITDA was $910.17 million in FY2025 (+43.0%), $636.57 million in FY2024 (+181.4%), $226.24 million in FY2023 (-53.6%) and $487.12 million in FY2022 (+234.1%).
- The fiscal Q2 2027 figure stands as the highest quarterly EBITDA since fiscal Q4 2013.
- On a year-over-year basis, EBITDA increased in four of the last eight quarters, with growth averaging 5.0%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2024, with growth of 328.4%; the weakest was fiscal Q2 2023, with a decline of 80.2%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $134.22 million (Q1 2027), $280.6 million (Q4 2026) and $199.05 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.02 Bn | 2,345.71 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 313.87 Bn | 307.11 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 162.71 Bn | 140.25 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 111.09 Bn | 104.05 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.56 Bn | 58.49 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 74.07 Bn | 73.16 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 70.21 Bn | 64.80 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.74 Bn | 50.65 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.49 Bn | 33.98 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Abercrombie & Fitch | 7.06 Bn | 4.39 Bn | 900.58 Mn | 300.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 300.41 Mn |
| May 2, 2026 | 134.22 Mn |
| Jan 31, 2026 | 280.60 Mn |
| Nov 1, 2025 | 199.05 Mn |
| Aug 2, 2025 | 249.02 Mn |
| May 3, 2025 | 144.83 Mn |
| Feb 1, 2025 | 297.48 Mn |
| Nov 2, 2024 | 222.13 Mn |
| Aug 3, 2024 | 217.60 Mn |
| May 4, 2024 | 172.96 Mn |
| Feb 3, 2024 | 258.36 Mn |
| Oct 28, 2023 | 171.16 Mn |
| Jul 29, 2023 | 126.23 Mn |
| Apr 29, 2023 | 70.04 Mn |
| Jan 28, 2023 | 120.87 Mn |
| Oct 29, 2022 | 50.39 Mn |
| Jul 30, 2022 | 29.46 Mn |
| Apr 30, 2022 | 24.16 Mn |
| Jan 29, 2022 | 134.38 Mn |
| Oct 30, 2021 | 108.27 Mn |
API Access
Abercrombie & Fitch 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=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ANF", "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=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();