Oxford Industries (OXM) Tax Provisions (2010 - 2026)
Oxford Industries (OXM) reported Tax Provisions of $18.36 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 156.0% from $7.17 million a year earlier and up 260.5% from the prior quarter.
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Analysis
Oxford Industries (OXM) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Oxford Industries' Tax Provisions came in at -$2.28 million; for FY2026 (ended Jan 31, 2026), it came in at -$10.27 million.
- By fiscal year, Tax Provisions came in at $23.6 million in FY2025 (+65.7%), $14.24 million in FY2024 (-71.5%), $49.99 million in FY2023 (+50.4%) and $33.24 million in FY2022.
- The fiscal Q2 2027 figure ranks as the highest quarterly Tax Provisions since fiscal Q1 2024.
- Year over year, Tax Provisions gained in 1 of the last four quarters, with growth averaging 10.3%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q1 2023 (growth of 196.9%); the low point was fiscal Q3 2024 (a decline of 64.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $5.09 million (Q1 2027), -$2.68 million (Q4 2026) and -$23.06 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 260.00 Mn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 81.00 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 80.00 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 138.13 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 27.40 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 16.21 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | -58.65 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 59.04 Mn |
| 10 | Oxford Industries | 365.77 Mn | 331.28 Mn | 291.13 Mn | 18.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 18.36 Mn |
| May 2, 2026 | 5.09 Mn |
| Jan 31, 2026 | -2.68 Mn |
| Nov 1, 2025 | -23.06 Mn |
| Aug 2, 2025 | 7.17 Mn |
| May 3, 2025 | 8.30 Mn |
| Feb 1, 2025 | 1.53 Mn |
| Nov 2, 2024 | -2.91 Mn |
| Aug 3, 2024 | 11.78 Mn |
| May 4, 2024 | 13.20 Mn |
| Feb 3, 2024 | -22.56 Mn |
| Oct 28, 2023 | 2.46 Mn |
| Jul 29, 2023 | 14.92 Mn |
| Apr 29, 2023 | 19.42 Mn |
| Jan 28, 2023 | 6.23 Mn |
| Oct 29, 2022 | 6.95 Mn |
| Jul 30, 2022 | 18.49 Mn |
| Apr 30, 2022 | 18.33 Mn |
| Jan 29, 2022 | 6.34 Mn |
| Oct 30, 2021 | 4.40 Mn |
API Access
Oxford Industries 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=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();