Abercrombie & Fitch (ANF) Operating Leases (2019 - 2026)
Abercrombie & Fitch (ANF) posted Operating Leases of $1.03 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 17.0% from $876.46 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Abercrombie & Fitch (ANF) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Abercrombie & Fitch's Operating Leases came in at $926.83 million, up 25.2% from FY2025.
- Annual Operating Leases shows a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- In prior fiscal years, Abercrombie & Fitch's Operating Leases was $740.01 million in FY2025 (+14.4%), $646.62 million in FY2024 (-9.4%), $713.36 million in FY2023 (+2.3%) and $697.26 million in FY2022 (-27.2%).
- Quarterly Operating Leases has run from a low of $646.62 million in fiscal Q4 2024 to a high of $1.03 billion in fiscal Q1 2027 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last eight quarters, with growth averaging 21.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q2 2026, with growth of 27.4%; the weakest was fiscal Q4 2022, with a decline of 27.2%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $1.03 billion (Q1 2027), $926.83 million (Q4 2026) and $905.04 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,834.72 Bn | 2,351.42 Bn | 104.83 Bn |
| 2 | Home Depot | 313.78 Bn | 307.02 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.33 Bn | 139.88 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.19 Bn | 104.15 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.47 Bn | 58.40 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.30 Bn | 73.39 Bn | 2.52 Bn |
| 7 | Target | 70.53 Bn | 65.12 Bn | 8.94 Bn |
| 8 | Autozone | 52.01 Bn | 50.91 Bn | 2.52 Bn |
| 9 | Carvana | 43.31 Bn | 33.80 Bn | 1.38 Bn |
| 10 | Abercrombie & Fitch | 7.05 Bn | 4.38 Bn | 900.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.03 Bn |
| May 2, 2026 | 1.03 Bn |
| Jan 31, 2026 | 926.83 Mn |
| Nov 1, 2025 | 905.04 Mn |
| Aug 2, 2025 | 876.46 Mn |
| May 3, 2025 | 810.39 Mn |
| Feb 1, 2025 | 740.01 Mn |
| Nov 2, 2024 | 734.92 Mn |
| Aug 3, 2024 | 688.01 Mn |
| May 4, 2024 | 656.86 Mn |
| Feb 3, 2024 | 646.62 Mn |
| Oct 28, 2023 | 658.92 Mn |
| Jul 29, 2023 | 692.05 Mn |
| Apr 29, 2023 | 683.00 Mn |
| Jan 28, 2023 | 713.36 Mn |
| Oct 29, 2022 | 708.51 Mn |
| Jul 30, 2022 | 714.27 Mn |
| Apr 30, 2022 | 662.32 Mn |
| Jan 29, 2022 | 697.26 Mn |
| Oct 30, 2021 | 764.35 Mn |
API Access
Abercrombie & Fitch Operating Leases 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=operating-leases&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();