Vince Holding (VNCE) Selling, General & Administrative (2012 - 2026)
Vince Holding's Selling, General & Administrative was $36.28 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 40.7% from $25.79 million a year earlier and up 3.5% from the prior quarter.
Vince Holding (VNCE) Selling, General & Administrative (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vince Holding's Selling, General & Administrative was $151.84 million through Aug 1, 2026, up 15.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $139.91 million, up 1.4% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of 2.6% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $138.02 million in FY2025 (+2.6%), $134.48 million in FY2024 (-16.7%), $161.43 million in FY2023 (+10.5%) and $146.09 million in FY2022 (+19.0%).
- Quarterly Selling, General & Administrative has moved between $25.79 million (fiscal Q2 2026) and $44.05 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 6.8% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q3 2022 (growth of 53.6%); the worst was fiscal Q2 2026 (a decline of 24.2%).
- Per Business Quant data, VNCE's Selling, General & Administrative in the three fiscal quarters before Q2 2027 was $35.04 million (Q1 2027), $44.05 million (Q4 2026) and $36.47 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn | 1.08 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn | 843.40 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn | 193.84 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn | 415.03 Mn |
| 10 | Vince Holding | 135.70 Mn | 132.37 Mn | 49.83 Mn | 36.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 36.28 Mn |
| May 2, 2026 | 35.04 Mn |
| Jan 31, 2026 | 44.05 Mn |
| Nov 1, 2025 | 36.47 Mn |
| Aug 2, 2025 | 25.79 Mn |
| May 3, 2025 | 33.60 Mn |
| Feb 1, 2025 | 37.78 Mn |
| Nov 2, 2024 | 34.30 Mn |
| Aug 3, 2024 | 34.00 Mn |
| May 4, 2024 | 31.94 Mn |
| Feb 3, 2024 | 35.85 Mn |
| Oct 28, 2023 | 34.36 Mn |
| Jul 29, 2023 | 31.54 Mn |
| Apr 29, 2023 | 32.73 Mn |
| Jan 28, 2023 | 42.30 Mn |
| Oct 29, 2022 | 39.20 Mn |
| Jul 30, 2022 | 39.01 Mn |
| Apr 30, 2022 | 40.92 Mn |
| Jan 29, 2022 | 41.76 Mn |
| Oct 30, 2021 | 39.00 Mn |
Vince Holding Selling, General & Administrative 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=selling-general-and-administrative&ticker=VNCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VNCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();