Vince Holding (VNCE) Inventory (2013 - 2026)
Vince Holding (VNCE) recorded Inventory of $73.37 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 4.3% from $76.71 million a year earlier but up 3.6% from the prior quarter.
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Analysis
Vince Holding (VNCE) Inventory (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Vince Holding reported Inventory of $66.24 million, up 12.0% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $59.15 million in FY2025 (+0.6%), $58.78 million in FY2024 (-34.7%), $90.01 million in FY2023 (+14.6%) and $78.56 million in FY2022 (+15.2%).
- Quarterly Inventory has ranged from $56.67 million in fiscal Q1 2025 to $129.47 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Inventory rose in six of the last eight quarters, with growth averaging 7.3%.
- Peak year-over-year performance for Inventory in the last five years was growth of 74.2% in fiscal Q2 2023, against a decline of 40.3% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $70.81 million (Q1 2027), $66.24 million (Q4 2026) and $75.85 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 826.20 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.16 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 487.02 Mn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.71 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 1.16 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 2.17 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 980.27 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 389.21 Mn |
| 10 | Vince Holding | 139.83 Mn | 136.51 Mn | 49.83 Mn | 73.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 73.37 Mn |
| May 2, 2026 | 70.81 Mn |
| Jan 31, 2026 | 66.24 Mn |
| Nov 1, 2025 | 75.85 Mn |
| Aug 2, 2025 | 76.71 Mn |
| May 3, 2025 | 62.26 Mn |
| Feb 1, 2025 | 59.15 Mn |
| Nov 2, 2024 | 63.78 Mn |
| Aug 3, 2024 | 66.34 Mn |
| May 4, 2024 | 56.67 Mn |
| Feb 3, 2024 | 58.78 Mn |
| Oct 28, 2023 | 69.56 Mn |
| Jul 29, 2023 | 85.08 Mn |
| Apr 29, 2023 | 80.04 Mn |
| Jan 28, 2023 | 90.01 Mn |
| Oct 29, 2022 | 116.44 Mn |
| Jul 30, 2022 | 129.47 Mn |
| Apr 30, 2022 | 83.35 Mn |
| Jan 29, 2022 | 78.56 Mn |
| Oct 30, 2021 | 82.04 Mn |
API Access
Vince Holding Inventory 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=inventory&ticker=VNCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "VNCE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=VNCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();