Oxford Industries (OXM) Exchange Rate Effect (2010 - 2026)
Oxford Industries (OXM) posted Exchange Rate Effect of -$99,000 for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with $83,000 a year earlier.
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Analysis
Oxford Industries (OXM) Exchange Rate Effect (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Exchange Rate Effect at Oxford Industries was -$25,000; for FY2026 (ended Jan 31, 2026), it was $307,000.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- In prior fiscal years, Oxford Industries' Exchange Rate Effect was -$289,000 in FY2025, -$353,000 in FY2024, $1.63 million in FY2023 (+177.9%) and $587,000 in FY2022 (+190.6%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Exchange Rate Effect since fiscal Q4 2025.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was -$7,000 (Q1 2027), $78,000 (Q4 2026) and $3,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | -8.00 Mn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | -10.50 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | -16.50 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | -23.18 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | -3.50 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | -1.80 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 833,413.45 |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | -4.00 Mn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | -99,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -99,000.00 |
| May 2, 2026 | -7,000.00 |
| Jan 31, 2026 | 78,000.00 |
| Nov 1, 2025 | 3,000.00 |
| Aug 2, 2025 | 83,000.00 |
| May 3, 2025 | 143,000.00 |
| Feb 1, 2025 | -342,000.00 |
| Nov 2, 2024 | 105,000.00 |
| Aug 3, 2024 | -26,000.00 |
| May 4, 2024 | -26,000.00 |
| Feb 3, 2024 | -148,000.00 |
| Oct 28, 2023 | -188,000.00 |
| Jul 29, 2023 | 6,000.00 |
| Apr 29, 2023 | -23,000.00 |
| Jan 28, 2023 | 1.23 Mn |
| Oct 29, 2022 | 22,000.00 |
| Jul 30, 2022 | -31,000.00 |
| Apr 30, 2022 | 411,000.00 |
| Jan 29, 2022 | 28,000.00 |
| Oct 30, 2021 | 523,000.00 |
API Access
Oxford Industries 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=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "OXM", "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=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();