Vince Holding (VNCE) Cash & Equivalents (2012 - 2026)
Vince Holding (VNCE) recorded Cash & Equivalents of $1.01 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 29.9% from $777,000 a year earlier and up 32.4% from the prior quarter.
Vince Holding (VNCE) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Vince Holding reported Cash & Equivalents of $498,000, down 18.0% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -33.3% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $607,000 in FY2025 (+70.0%), $357,000 in FY2024 (-66.9%), $1.08 million in FY2023 (+2.2%) and $1.06 million in FY2022 (-72.0%).
- Quarterly Cash & Equivalents has ranged from $357,000 in fiscal Q4 2024 to $2.59 million in fiscal Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last eight quarters, with growth averaging 32.9%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 250.2% in fiscal Q1 2026, against a decline of 72.0% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $762,000 (Q1 2027), $498,000 (Q4 2026) and $1.06 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn | 7.56 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn | 849.30 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn | 268.30 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn | 806.25 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn | 170.28 Mn |
| 10 | Vince Holding | 131.18 Mn | 127.85 Mn | 49.83 Mn | 1.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.01 Mn |
| May 2, 2026 | 762,000.00 |
| Jan 31, 2026 | 498,000.00 |
| Nov 1, 2025 | 1.06 Mn |
| Aug 2, 2025 | 777,000.00 |
| May 3, 2025 | 2.59 Mn |
| Feb 1, 2025 | 607,000.00 |
| Nov 2, 2024 | 892,000.00 |
| Aug 3, 2024 | 711,000.00 |
| May 4, 2024 | 739,000.00 |
| Feb 3, 2024 | 357,000.00 |
| Oct 28, 2023 | 1.22 Mn |
| Jul 29, 2023 | 869,000.00 |
| Apr 29, 2023 | 422,000.00 |
| Jan 28, 2023 | 1.08 Mn |
| Oct 29, 2022 | 1.16 Mn |
| Jul 30, 2022 | 1.07 Mn |
| Apr 30, 2022 | 1.26 Mn |
| Jan 29, 2022 | 1.06 Mn |
| Oct 30, 2021 | 1.61 Mn |
Vince Holding 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=VNCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VNCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();