Abercrombie & Fitch (ANF) Change in Accured Expenses (2010 - 2026)
Abercrombie & Fitch's Change in Accured Expenses was $120.81 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 82.3% from $66.26 million a year earlier.
Powered by 
Analysis
Abercrombie & Fitch (ANF) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Abercrombie & Fitch's Change in Accured Expenses was $19.03 million through Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it was -$45.13 million.
- In earlier fiscal years, Change in Accured Expenses was $129.26 million in FY2025 (+55.9%), $82.93 million in FY2024, -$115.15 million in FY2023 and $77.91 million in FY2022 (-58.3%).
- Quarterly Change in Accured Expenses has moved between -$168.94 million (fiscal Q1 2026) and $151.72 million (fiscal Q2 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in three of the last four quarters, with growth averaging 18.5%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q3 2022 (growth of 124.3%); the worst was fiscal Q2 2026 (a decline of 56.3%).
- Per Business Quant data, ANF's Change in Accured Expenses in the three fiscal quarters before Q2 2027 was -$159.34 million (Q1 2027), -$73.85 million (Q4 2026) and $131.4 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | Abercrombie & Fitch | 5.77 Bn | 3.11 Bn | 900.58 Mn | 120.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 120.81 Mn |
| May 2, 2026 | -159.34 Mn |
| Jan 31, 2026 | -73.85 Mn |
| Nov 1, 2025 | 131.40 Mn |
| Aug 2, 2025 | 66.26 Mn |
| May 3, 2025 | -168.94 Mn |
| Feb 1, 2025 | -55.34 Mn |
| Nov 2, 2024 | 98.60 Mn |
| Aug 3, 2024 | 151.72 Mn |
| May 4, 2024 | -65.72 Mn |
| Feb 3, 2024 | -43.92 Mn |
| Oct 28, 2023 | 85.89 Mn |
| Jul 29, 2023 | 141.76 Mn |
| Apr 29, 2023 | -100.80 Mn |
| Jan 28, 2023 | -27.69 Mn |
| Oct 29, 2022 | -53.45 Mn |
| Jul 30, 2022 | 104.76 Mn |
| Apr 30, 2022 | -138.77 Mn |
| Jan 29, 2022 | -3.88 Mn |
| Oct 30, 2021 | 145.36 Mn |
API Access
Abercrombie & Fitch Change in Accured 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=change-in-accured-expenses&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();