Abercrombie & Fitch (ANF) Inventory (2010 - 2026)
Abercrombie & Fitch's Inventory came in at $591.66 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.2% from $592.97 million a year earlier but up 11.1% from the prior quarter.
Powered by 
Analysis
Abercrombie & Fitch (ANF) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Abercrombie & Fitch's Inventory was $601.22 million, up 4.6% from FY2025.
- Inventory carries a five-year compound annual growth rate of 8.3% (FY2021 to FY2026).
- Going back by fiscal year, Inventory was $575.01 million in FY2025 (+22.5%), $469.47 million in FY2024 (-7.2%), $505.62 million in FY2023 (-3.8%) and $525.86 million in FY2022 (+30.1%).
- The five-year range for quarterly Inventory is $447.81 million (fiscal Q1 2024) to $741.96 million (fiscal Q3 2023).
- Year-over-year, Inventory increased in six of the last eight quarters, with growth averaging 9.7%.
- The fastest year-over-year change in Inventory over five years came in fiscal Q2 2023 (growth of 70.4%), and the weakest in fiscal Q2 2024 (a decline of 30.3%).
- Business Quant data shows ANF's Inventory at $532.69 million (Q1 2027), $601.22 million (Q4 2026) and $730.45 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 3.09 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 5.97 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 13.25 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 3.26 Bn |
| 10 | Abercrombie & Fitch | 7.07 Bn | 4.40 Bn | 900.58 Mn | 591.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 591.66 Mn |
| May 2, 2026 | 532.69 Mn |
| Jan 31, 2026 | 601.22 Mn |
| Nov 1, 2025 | 730.45 Mn |
| Aug 2, 2025 | 592.97 Mn |
| May 3, 2025 | 542.06 Mn |
| Feb 1, 2025 | 575.01 Mn |
| Nov 2, 2024 | 692.60 Mn |
| Aug 3, 2024 | 539.76 Mn |
| May 4, 2024 | 449.27 Mn |
| Feb 3, 2024 | 469.47 Mn |
| Oct 28, 2023 | 595.07 Mn |
| Jul 29, 2023 | 493.48 Mn |
| Apr 29, 2023 | 447.81 Mn |
| Jan 28, 2023 | 505.62 Mn |
| Oct 29, 2022 | 741.96 Mn |
| Jul 30, 2022 | 708.02 Mn |
| Apr 30, 2022 | 562.51 Mn |
| Jan 29, 2022 | 525.86 Mn |
| Oct 30, 2021 | 543.71 Mn |
API Access
Abercrombie & Fitch Inventory 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=inventory&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();