Vince Holding (VNCE) Return on Sales [ROS] (2012 - 2026)
Vince Holding (VNCE) recorded Return on Sales [ROS] of 16.57% in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.35 percentage points from 15.23% a year earlier and up 20.70 percentage points from the prior quarter.
Vince Holding (VNCE) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a TTM basis, Vince Holding's Return on Sales [ROS] came in at 4.27% as of Aug 1, 2026, up 10.17 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 3.08%, up 8.93 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +30.86 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -5.85% in FY2025 (-16.65 pp), 10.80% in FY2024 (+17.91 pp), -7.11% in FY2023 (-7.26 pp) and 0.15% in FY2022 (+27.93 pp).
- The fiscal Q2 2027 figure is the highest quarterly Return on Sales [ROS] since fiscal Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +0.40 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 53.14 percentage points in fiscal Q2 2024, against a drop of 45.78 percentage points in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -4.13% (Q1 2027), -3.48% (Q4 2026) and 6.38% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 23.57% |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 17.47% |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 7.82% |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 11.12% |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | 28.22% |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 24.22% |
| 10 | Vince Holding | 135.70 Mn | 132.37 Mn | 49.83 Mn | 16.57% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 16.57% |
| May 2, 2026 | -4.13% |
| Jan 31, 2026 | -3.48% |
| Nov 1, 2025 | 6.38% |
| Aug 2, 2025 | 15.23% |
| May 3, 2025 | -7.66% |
| Feb 1, 2025 | -37.11% |
| Nov 2, 2024 | 7.19% |
| Aug 3, 2024 | 1.52% |
| May 4, 2024 | 9.47% |
| Feb 3, 2024 | -2.23% |
| Oct 28, 2023 | 3.36% |
| Jul 29, 2023 | 47.30% |
| Apr 29, 2023 | -3.71% |
| Jan 28, 2023 | -6.07% |
| Oct 29, 2022 | -9.53% |
| Jul 30, 2022 | -5.83% |
| Apr 30, 2022 | -6.74% |
| Jan 29, 2022 | 1.83% |
| Oct 30, 2021 | 3.58% |
Vince Holding Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=VNCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=VNCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();