Abercrombie & Fitch (ANF) Change in Taxes (2010 - 2026)
Abercrombie & Fitch (ANF) posted Change in Taxes of $7.16 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$35.59 million a year earlier and down 28.3% from the prior quarter.
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Analysis
Abercrombie & Fitch (ANF) Change in Taxes (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Change in Taxes at Abercrombie & Fitch was $21.52 million; for FY2026 (ended Jan 31, 2026), it came in at -$24.17 million.
- In prior fiscal years, Abercrombie & Fitch's Change in Taxes was -$9.85 million in FY2025, $35.81 million in FY2024, -$7.39 million in FY2023 and -$3.09 million in FY2022.
- Quarterly Change in Taxes has run from a low of -$43.73 million in fiscal Q2 2025 to a high of $25.28 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Change in Taxes increased in two of the last five quarters, with an average decline of 9.2%.
- The strongest year-over-year quarter for Change in Taxes in the past five years was fiscal Q1 2025, with growth of 152.4%; the weakest was fiscal Q3 2026, with a decline of 98.8%.
- According to Business Quant data, Change in Taxes for the three prior fiscal quarters was $9.99 million (Q1 2027), $4.16 million (Q4 2026) and $203,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,887.17 Bn | 2,383.84 Bn | 107.37 Bn | - |
| 2 | Home Depot | 352.83 Bn | 346.07 Bn | 16.12 Bn | -552.00 Mn |
| 3 | Tjx Companies | 152.69 Bn | 130.24 Bn | 5.07 Bn | 18.00 Mn |
| 4 | Lowes Companies | 129.94 Bn | 122.90 Bn | 8.58 Bn | - |
| 5 | Target | 75.44 Bn | 70.03 Bn | 8.94 Bn | - |
| 6 | Ross Stores | 75.40 Bn | 58.32 Bn | 2.12 Bn | -123.35 Mn |
| 7 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | -34.79 Mn |
| 8 | Carvana | 54.79 Bn | 44.38 Bn | 1.52 Bn | - |
| 9 | Autozone | 53.72 Bn | 52.57 Bn | 3.52 Bn | 55.51 Mn |
| 10 | Abercrombie & Fitch | 6.69 Bn | 4.02 Bn | 900.58 Mn | 7.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 7.16 Mn |
| May 2, 2026 | 9.99 Mn |
| Jan 31, 2026 | 4.16 Mn |
| Nov 1, 2025 | 203,000.00 |
| Aug 2, 2025 | -35.59 Mn |
| May 3, 2025 | 7.05 Mn |
| Feb 1, 2025 | 9.58 Mn |
| Nov 2, 2024 | 16.73 Mn |
| Aug 3, 2024 | -43.73 Mn |
| May 4, 2024 | 7.57 Mn |
| Feb 3, 2024 | -2.05 Mn |
| Oct 28, 2023 | 9.58 Mn |
| Jul 29, 2023 | 25.28 Mn |
| Apr 29, 2023 | 3.00 Mn |
| Jan 28, 2023 | -7.67 Mn |
| Oct 29, 2022 | 17.44 Mn |
| Jul 30, 2022 | -19.82 Mn |
| Apr 30, 2022 | 2.66 Mn |
| Jan 29, 2022 | -18.15 Mn |
| Oct 30, 2021 | 13.68 Mn |
API Access
Abercrombie & Fitch Change in Taxes 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-taxes&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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-taxes&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();