Abercrombie & Fitch (ANF) Tax Provisions (2010 - 2026)
Abercrombie & Fitch's Tax Provisions came in at $74.75 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 13.7% from $65.74 million a year earlier and up 187.9% from the prior quarter.
Abercrombie & Fitch (ANF) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Abercrombie & Fitch reported Tax Provisions of $214.17 million, down 3.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $205.78 million, up 5.7% from FY2025.
- Tax Provisions has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 27.9% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $194.66 million in FY2025 (+30.7%), $148.89 million in FY2024 (+162.9%), $56.63 million in FY2023 (+45.6%) and $38.91 million in FY2022 (-35.4%).
- The fiscal Q2 2027 figure represents the highest quarterly Tax Provisions since fiscal Q4 2025.
- Year-over-year, Tax Provisions increased in five of the last eight quarters, with growth averaging 14.3%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q2 2024 (growth of 432.7%), and the weakest in fiscal Q3 2023 (a decline of 33.1%).
- Business Quant data shows ANF's Tax Provisions at $25.97 million (Q1 2027), $67.59 million (Q4 2026) and $45.86 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Abercrombie & Fitch | 7.07 Bn | 4.40 Bn | 900.58 Mn | 74.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 74.75 Mn |
| May 2, 2026 | 25.97 Mn |
| Jan 31, 2026 | 67.59 Mn |
| Nov 1, 2025 | 45.86 Mn |
| Aug 2, 2025 | 65.74 Mn |
| May 3, 2025 | 26.58 Mn |
| Feb 1, 2025 | 75.27 Mn |
| Nov 2, 2024 | 54.15 Mn |
| Aug 3, 2024 | 45.45 Mn |
| May 4, 2024 | 19.79 Mn |
| Feb 3, 2024 | 66.54 Mn |
| Oct 28, 2023 | 39.62 Mn |
| Jul 29, 2023 | 30.01 Mn |
| Apr 29, 2023 | 12.72 Mn |
| Jan 28, 2023 | 42.22 Mn |
| Oct 29, 2022 | 10.97 Mn |
| Jul 30, 2022 | 5.63 Mn |
| Apr 30, 2022 | -2.19 Mn |
| Jan 29, 2022 | 23.35 Mn |
| Oct 30, 2021 | 16.38 Mn |
Abercrombie & Fitch Tax Provisions 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=tax-provisions&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();