V F (VFC) Exchange Rate Effect (2009 - 2026)
V F's Exchange Rate Effect came in at -$4.05 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), compared with $72.38 million a year earlier.
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Analysis
V F (VFC) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, V F reported Exchange Rate Effect of -$16.15 million; for FY2026 (ended Mar 28, 2026), it came in at $60.28 million, up 735.1% from FY2025.
- Going back by fiscal year, Exchange Rate Effect was $7.22 million in FY2025, -$22.07 million in FY2024, -$80.82 million in FY2023 and -$73.3 million in FY2022.
- The five-year range for quarterly Exchange Rate Effect is -$63.96 million (fiscal Q4 2022) to $72.38 million (fiscal Q1 2026).
- Business Quant data shows VFC's Exchange Rate Effect at -$18.02 million (Q4 2026), $13.58 million (Q3 2026) and -$7.65 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | -8.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | -10.50 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | -16.50 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | -23.18 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | -3.50 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | -1.80 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 833,413.45 |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | -4.00 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | -4.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -4.05 Mn |
| Mar 28, 2026 | -18.02 Mn |
| Dec 27, 2025 | 13.58 Mn |
| Sep 27, 2025 | -7.65 Mn |
| Jun 28, 2025 | 72.38 Mn |
| Mar 29, 2025 | 35.55 Mn |
| Dec 28, 2024 | -42.64 Mn |
| Sep 28, 2024 | 22.64 Mn |
| Jun 29, 2024 | -8.34 Mn |
| Mar 30, 2024 | -17.09 Mn |
| Dec 30, 2023 | 16.21 Mn |
| Sep 30, 2023 | -11.86 Mn |
| Jul 1, 2023 | -9.33 Mn |
| Apr 1, 2023 | 1.69 Mn |
| Dec 31, 2022 | 3.38 Mn |
| Oct 1, 2022 | -26.90 Mn |
| Jul 2, 2022 | -58.99 Mn |
| Apr 2, 2022 | -63.96 Mn |
| Jan 1, 2022 | 1.62 Mn |
| Oct 2, 2021 | -20.96 Mn |
API Access
V F 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=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VFC", "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=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();