Oxford Industries (OXM) Receivables (2010 - 2026)
Oxford Industries (OXM) recorded Receivables of $61.91 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 8.6% from $67.76 million a year earlier and down 33.8% from the prior quarter.
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Analysis
Oxford Industries (OXM) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Oxford Industries reported Receivables of $72.96 million, down 6.2% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of 19.1% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $77.76 million in FY2025 (+22.7%), $63.36 million in FY2024 (+44.1%), $43.99 million in FY2023 (+39.2%) and $31.59 million in FY2022 (+3.8%).
- The fiscal Q2 2027 figure is the lowest quarterly Receivables since fiscal Q3 2024.
- On a year-over-year basis, Receivables has declined for four consecutive quarters, with growth averaging 5.1% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 44.1% in fiscal Q4 2024, against a decline of 11.6% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $93.53 million (Q1 2027), $72.96 million (Q4 2026) and $69 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 5.93 Bn |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 237.10 Mn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 407.20 Mn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 318.98 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 171.16 Mn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 586.20 Mn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 1.08 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 328.90 Mn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 430.30 Mn |
| 10 | Oxford Industries | 374.46 Mn | 339.97 Mn | 291.13 Mn | 61.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 61.91 Mn |
| May 2, 2026 | 93.53 Mn |
| Jan 31, 2026 | 72.96 Mn |
| Nov 1, 2025 | 69.00 Mn |
| Aug 2, 2025 | 67.76 Mn |
| May 3, 2025 | 105.77 Mn |
| Feb 1, 2025 | 77.76 Mn |
| Nov 2, 2024 | 75.99 Mn |
| Aug 3, 2024 | 63.54 Mn |
| May 4, 2024 | 87.92 Mn |
| Feb 3, 2024 | 63.36 Mn |
| Oct 28, 2023 | 60.10 Mn |
| Jul 29, 2023 | 55.58 Mn |
| Apr 29, 2023 | 81.48 Mn |
| Jan 28, 2023 | 43.99 Mn |
| Oct 29, 2022 | 62.23 Mn |
| Jul 30, 2022 | 48.69 Mn |
| Apr 30, 2022 | 72.27 Mn |
| Jan 29, 2022 | 31.59 Mn |
| Oct 30, 2021 | 46.27 Mn |
API Access
Oxford Industries Receivables 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=receivables&ticker=OXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();