Abercrombie & Fitch (ANF) Asset Writedowns and Impairment (2011 - 2026)
Abercrombie & Fitch (ANF) posted Asset Writedowns and Impairment of $1.45 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 47.6% from $2.77 million a year earlier and down 33.5% from the prior quarter.
Abercrombie & Fitch (ANF) Asset Writedowns and Impairment (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Asset Writedowns and Impairment at Abercrombie & Fitch was $11.67 million, down 13.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $11.48 million, down 1.0% from FY2025.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -30.9% (FY2021 to FY2026).
- In prior fiscal years, Abercrombie & Fitch's Asset Writedowns and Impairment was $11.6 million in FY2025 (+39.9%), $8.29 million in FY2024 (-40.9%), $14.03 million in FY2023 (+16.0%) and $12.1 million in FY2022 (-83.4%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Asset Writedowns and Impairment since fiscal Q1 2026.
- On a year-over-year basis, Asset Writedowns and Impairment increased in four of the last seven quarters, with growth averaging 62.0%.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was fiscal Q2 2026, with growth of 295.6%; the weakest was fiscal Q4 2022, with a decline of 87.8%.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior fiscal quarters was $2.19 million (Q1 2027), $5.76 million (Q4 2026) and $2.27 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 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 |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Abercrombie & Fitch | 5.77 Bn | 3.11 Bn | 900.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.45 Mn |
| May 2, 2026 | 2.19 Mn |
| Jan 31, 2026 | 5.76 Mn |
| Nov 1, 2025 | 2.27 Mn |
| Aug 2, 2025 | 2.77 Mn |
| May 3, 2025 | 679,000.00 |
| Feb 1, 2025 | 4.53 Mn |
| Nov 2, 2024 | 5.50 Mn |
| Aug 3, 2024 | 701,000.00 |
| May 4, 2024 | 866,000.00 |
| Feb 3, 2024 | 3.85 Mn |
| Apr 29, 2023 | 4.44 Mn |
| Jan 28, 2023 | 4.70 Mn |
| Oct 29, 2022 | 3.74 Mn |
| Jul 30, 2022 | 2.17 Mn |
| Apr 30, 2022 | 3.42 Mn |
| Jan 29, 2022 | 1.90 Mn |
| Oct 30, 2021 | 6.75 Mn |
| Jul 31, 2021 | 786,000.00 |
| Jan 30, 2021 | 15.60 Mn |
Abercrombie & Fitch Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();