Oxford Industries (OXM) Cash & Equivalents (2010 - 2026)
Oxford Industries (OXM) reported Cash & Equivalents of $9.02 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 31.2% from $6.88 million a year earlier but down 3.6% from the prior quarter.
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Analysis
Oxford Industries (OXM) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries posted Cash & Equivalents of $8.13 million, down 14.2% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of -34.2% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $9.47 million in FY2025 (+24.5%), $7.6 million in FY2024 (-13.8%), $8.83 million in FY2023 (-80.3%) and $44.86 million in FY2022 (-32.0%).
- Five-year quarterly Cash & Equivalents spans a low of $6.88 million in fiscal Q2 2026 and a high of $44.86 million in fiscal Q4 2022.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with growth averaging 0.4%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q2 2025 (growth of 136.5%); the low point was fiscal Q2 2023 (a decline of 82.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $9.36 million (Q1 2027), $8.13 million (Q4 2026) and $7.98 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Oxford Industries | 373.71 Mn | 339.22 Mn | 291.13 Mn | 9.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 9.02 Mn |
| May 2, 2026 | 9.36 Mn |
| Jan 31, 2026 | 8.13 Mn |
| Nov 1, 2025 | 7.98 Mn |
| Aug 2, 2025 | 6.88 Mn |
| May 3, 2025 | 8.18 Mn |
| Feb 1, 2025 | 9.47 Mn |
| Nov 2, 2024 | 7.03 Mn |
| Aug 3, 2024 | 18.42 Mn |
| May 4, 2024 | 7.66 Mn |
| Feb 3, 2024 | 7.60 Mn |
| Oct 28, 2023 | 7.88 Mn |
| Jul 29, 2023 | 7.79 Mn |
| Apr 29, 2023 | 9.71 Mn |
| Jan 28, 2023 | 8.83 Mn |
| Oct 29, 2022 | 14.98 Mn |
| Jul 30, 2022 | 31.27 Mn |
| Apr 30, 2022 | 31.80 Mn |
| Jan 29, 2022 | 44.86 Mn |
| Oct 30, 2021 | 37.98 Mn |
API Access
Oxford Industries Cash & Equivalents 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=cash-and-equivalents&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();