Vince Holding (VNCE) Total Liabilities (2013 - 2026)
Vince Holding (VNCE) reported Total Liabilities of $170.12 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 10.3% from $189.68 million a year earlier and down 0.9% from the prior quarter.
Vince Holding (VNCE) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Vince Holding posted Total Liabilities of $174.94 million, down 3.3% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of -8.1% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $180.98 million in FY2025 (+1.7%), $178 million in FY2024 (-37.1%), $283.09 million in FY2023 (+0.6%) and $281.45 million in FY2022 (+5.5%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Total Liabilities since fiscal Q1 2019.
- Year over year, Total Liabilities has now declined in each of the last five quarters, with an average decline of 2.2% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2023 (growth of 20.8%); the low point was fiscal Q3 2024 (a decline of 39.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $171.64 million (Q1 2027), $174.94 million (Q4 2026) and $192.61 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 23.55 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 6.00 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 4.94 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | 1.19 Bn |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 3.69 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 4.36 Bn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 7.74 Bn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 3.33 Bn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 2.97 Bn |
| 10 | Vince Holding | 139.83 Mn | 136.51 Mn | 49.83 Mn | 170.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 170.12 Mn |
| May 2, 2026 | 171.64 Mn |
| Jan 31, 2026 | 174.94 Mn |
| Nov 1, 2025 | 192.61 Mn |
| Aug 2, 2025 | 189.68 Mn |
| May 3, 2025 | 180.79 Mn |
| Feb 1, 2025 | 180.98 Mn |
| Nov 2, 2024 | 197.60 Mn |
| Aug 3, 2024 | 201.18 Mn |
| May 4, 2024 | 171.42 Mn |
| Feb 3, 2024 | 178.00 Mn |
| Oct 28, 2023 | 193.88 Mn |
| Jul 29, 2023 | 212.29 Mn |
| Apr 29, 2023 | 263.79 Mn |
| Jan 28, 2023 | 283.09 Mn |
| Oct 29, 2022 | 318.57 Mn |
| Jul 30, 2022 | 333.77 Mn |
| Apr 30, 2022 | 279.92 Mn |
| Jan 29, 2022 | 281.45 Mn |
| Oct 30, 2021 | 291.20 Mn |
Vince Holding Total Liabilities 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=total-liabilities&ticker=VNCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VNCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();