Abercrombie & Fitch (ANF) Accumulated Expenses (2010 - 2026)
Abercrombie & Fitch's Accumulated Expenses came in at $443.36 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.2% from $429.62 million a year earlier and up 4.3% from the prior quarter.
Powered by 
Analysis
Abercrombie & Fitch (ANF) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Abercrombie & Fitch's Accumulated Expenses was $465.55 million, down 7.8% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $504.92 million in FY2025 (+15.6%), $436.66 million in FY2024 (+5.7%), $413.3 million in FY2023 (+4.4%) and $395.82 million in FY2022 (-0.1%).
- The five-year range for quarterly Accumulated Expenses is $320.68 million (fiscal Q1 2023) to $504.92 million (fiscal Q4 2025).
- Year-over-year, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 4.1%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2025 (growth of 18.4%), and the weakest in fiscal Q4 2026 (a decline of 7.8%).
- Business Quant data shows ANF's Accumulated Expenses at $425.15 million (Q1 2027), $465.55 million (Q4 2026) and $458.08 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,834.56 Bn | 2,351.26 Bn | 104.83 Bn |
| 2 | Home Depot | 314.58 Bn | 307.82 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.16 Bn | 139.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.60 Bn | 104.57 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.44 Bn | 58.37 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.42 Bn | 73.51 Bn | 2.52 Bn |
| 7 | Target | 70.46 Bn | 65.05 Bn | 8.94 Bn |
| 8 | Autozone | 52.17 Bn | 51.07 Bn | 2.52 Bn |
| 9 | Carvana | 43.35 Bn | 33.84 Bn | 1.38 Bn |
| 10 | Abercrombie & Fitch | 7.08 Bn | 4.40 Bn | 900.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 443.36 Mn |
| May 2, 2026 | 425.15 Mn |
| Jan 31, 2026 | 465.55 Mn |
| Nov 1, 2025 | 458.08 Mn |
| Aug 2, 2025 | 429.62 Mn |
| May 3, 2025 | 433.68 Mn |
| Feb 1, 2025 | 504.92 Mn |
| Nov 2, 2024 | 469.15 Mn |
| Aug 3, 2024 | 422.48 Mn |
| May 4, 2024 | 402.79 Mn |
| Feb 3, 2024 | 436.66 Mn |
| Oct 28, 2023 | 402.57 Mn |
| Jul 29, 2023 | 375.54 Mn |
| Apr 29, 2023 | 340.33 Mn |
| Jan 28, 2023 | 413.30 Mn |
| Oct 29, 2022 | 378.37 Mn |
| Jul 30, 2022 | 342.69 Mn |
| Apr 30, 2022 | 320.68 Mn |
| Jan 29, 2022 | 395.82 Mn |
| Oct 30, 2021 | 355.15 Mn |
API Access
Abercrombie & Fitch Accumulated Expenses 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=accumulated-expenses&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();