Vince Holding (VNCE) Return on Capital Employed [ROCE] (2014 - 2026)
Vince Holding's Return on Capital Employed [ROCE] came in at 8.78% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 19.62 percentage points from -10.83% a year earlier and up 2.17 percentage points from the prior quarter.
Vince Holding (VNCE) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Vince Holding's Return on Capital Employed [ROCE] was 5.92%, up 17.34 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a five-year change of +28.94 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was -11.42% in FY2025 (-27.01 pp), 15.59% in FY2024 (+26.78 pp), -11.19% in FY2023 (-11.39 pp) and 0.20% in FY2022 (+23.21 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Capital Employed [ROCE] since fiscal Q1 2025.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of -6.18 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q1 2025 (a gain of 34.05 percentage points), and the weakest in fiscal Q1 2026 (a drop of 40.06 percentage points).
- Business Quant data shows VNCE's Return on Capital Employed [ROCE] at 6.61% (Q1 2027), 5.51% (Q4 2026) and -9.94% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 14.08% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 38.80% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 21.43% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 29.51% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 14.72% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 5.97% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 10.20% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 23.21% |
| 10 | Vince Holding | 135.70 Mn | 132.37 Mn | 49.83 Mn | 8.78% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 8.78% |
| May 2, 2026 | 6.61% |
| Jan 31, 2026 | 5.51% |
| Nov 1, 2025 | -9.94% |
| Aug 2, 2025 | -10.83% |
| May 3, 2025 | -17.05% |
| Feb 1, 2025 | -10.40% |
| Nov 2, 2024 | 5.51% |
| Aug 3, 2024 | 4.61% |
| May 4, 2024 | 23.01% |
| Feb 3, 2024 | 18.20% |
| Oct 28, 2023 | 14.59% |
| Jul 29, 2023 | 7.62% |
| Apr 29, 2023 | -11.04% |
| Jan 28, 2023 | -10.90% |
| Oct 29, 2022 | -7.37% |
| Jul 30, 2022 | -2.46% |
| Apr 30, 2022 | 0.95% |
| Jan 29, 2022 | 0.19% |
| Oct 30, 2021 | -2.14% |
Vince Holding Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=VNCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=VNCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();