Abercrombie & Fitch (ANF) Exchange Rate Effect (2010 - 2026)
Abercrombie & Fitch's Exchange Rate Effect came in at -$372,000 for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with $2.29 million a year earlier.
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Analysis
Abercrombie & Fitch (ANF) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Abercrombie & Fitch reported Exchange Rate Effect of $2.68 million, up 6.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $13.54 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- Going back by fiscal year, Exchange Rate Effect was -$7.09 million in FY2025, -$2.92 million in FY2024, -$8.45 million in FY2023 and -$23.69 million in FY2022.
- The five-year range for quarterly Exchange Rate Effect is -$15.13 million (fiscal Q4 2022) to $7.41 million (fiscal Q1 2026).
- Business Quant data shows ANF's Exchange Rate Effect at -$787,000 (Q1 2027), $4.61 million (Q4 2026) and -$770,000 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | -53.00 Mn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | -16.00 Mn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | -26.00 Mn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 680,000.00 |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | - |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | -503,000.00 |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | - |
| 10 | Abercrombie & Fitch | 7.07 Bn | 4.40 Bn | 900.58 Mn | -372,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -372,000.00 |
| May 2, 2026 | -787,000.00 |
| Jan 31, 2026 | 4.61 Mn |
| Nov 1, 2025 | -770,000.00 |
| Aug 2, 2025 | 2.29 Mn |
| May 3, 2025 | 7.41 Mn |
| Feb 1, 2025 | -5.25 Mn |
| Nov 2, 2024 | -1.94 Mn |
| Aug 3, 2024 | 958,000.00 |
| May 4, 2024 | -857,000.00 |
| Feb 3, 2024 | 1.57 Mn |
| Oct 28, 2023 | -819,000.00 |
| Jul 29, 2023 | -1.67 Mn |
| Apr 29, 2023 | -2.00 Mn |
| Jan 28, 2023 | 6.42 Mn |
| Oct 29, 2022 | -7.30 Mn |
| Jul 30, 2022 | -4.95 Mn |
| Apr 30, 2022 | -2.62 Mn |
| Jan 29, 2022 | -15.13 Mn |
| Oct 30, 2021 | -6.01 Mn |
API Access
Abercrombie & Fitch Exchange Rate Effect 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=exchange-rate-effect&ticker=ANF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ANF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();