V F (VFC) Selling, General & Administrative (2009 - 2026)
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Analysis
V F (VFC) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 1.20 Bn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | 1.01 Bn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 505.66 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | 835.90 Mn |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 1.12 Bn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | 397.81 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Gildan Activewear | 5.55 Bn | 4.51 Bn | 624.95 Mn | 239.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 1.12 Bn |
| Jun 27, 2026 | 1.00 Bn |
| Mar 28, 2026 | 1.16 Bn |
| Dec 27, 2025 | 1.31 Bn |
| Sep 27, 2025 | 1.15 Bn |
| Jun 28, 2025 | 1.04 Bn |
| Mar 29, 2025 | 1.18 Bn |
| Dec 28, 2024 | 1.32 Bn |
| Sep 28, 2024 | 1.17 Bn |
| Jun 29, 2024 | 1.03 Bn |
| Mar 30, 2024 | 1.20 Bn |
| Dec 30, 2023 | 1.35 Bn |
| Sep 30, 2023 | 1.14 Bn |
| Jul 1, 2023 | 1.11 Bn |
| Apr 1, 2023 | 969.54 Mn |
| Dec 31, 2022 | 1.42 Bn |
| Oct 1, 2022 | 1.25 Bn |
| Jul 2, 2022 | 1.16 Bn |
| Apr 2, 2022 | 1.27 Bn |
| Jan 1, 2022 | 1.35 Bn |
API Access
V F 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=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "VFC", "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=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();