V F (VFC) Return on Sales [ROS] (2009 - 2026)
V F (VFC) reported Return on Sales [ROS] of 13.65% for fiscal Q2 2027 (quarter ended Sep 26, 2026), up 2.50 percentage points from 11.15% a year earlier and up 18.63 percentage points from the prior quarter.
V F (VFC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, V F's Return on Sales [ROS] came in at 6.76%, up 2.78 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it came in at 6.00%, up 2.81 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -0.57 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 3.20% in FY2025 (+4.65 pp), -1.45% in FY2024 (-10.46 pp), 9.01% in FY2023 (-4.78 pp) and 13.78% in FY2022 (+7.21 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly Return on Sales [ROS] since fiscal Q4 2023.
- Year over year, Return on Sales [ROS] gained in seven of the last eight quarters, with an average year-over-year change of +4.81 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2023 (a gain of 16.21 percentage points); the low point was fiscal Q4 2024 (a drop of 39.63 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -4.98% (Q1 2027), 2.84% (Q4 2026) and 10.05% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.42 Bn | 23.62 Bn | 4.80 Bn | 7.92% |
| 2 | Tapestry | 26.82 Bn | 22.74 Bn | 1.49 Bn | 22.39% |
| 3 | Ralph Lauren | 24.00 Bn | 15.93 Bn | 1.63 Bn | 16.58% |
| 4 | Deckers Outdoor | 12.00 Bn | 5.20 Bn | 895.11 Mn | 26.30% |
| 5 | Lululemon Athletica | 11.76 Bn | 6.01 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 9.42 Bn | 6.00 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 8.17 Bn | 4.76 Bn | 1.49 Bn | 13.65% |
| 8 | Crocs | 7.38 Bn | 6.78 Bn | 689.73 Mn | 28.00% |
| 9 | Birkenstock Holding | 6.85 Bn | 5.17 Bn | 493.89 Mn | 28.22% |
| 10 | Gildan Activewear | 6.61 Bn | 5.57 Bn | 624.95 Mn | 24.11% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 13.65% |
| Jun 27, 2026 | -4.98% |
| Mar 28, 2026 | 2.84% |
| Dec 27, 2025 | 10.05% |
| Sep 27, 2025 | 11.15% |
| Jun 28, 2025 | -4.92% |
| Mar 29, 2025 | -3.40% |
| Dec 28, 2024 | 7.97% |
| Sep 28, 2024 | 9.93% |
| Jun 29, 2024 | -6.95% |
| Mar 30, 2024 | -16.61% |
| Dec 30, 2023 | -3.28% |
| Sep 30, 2023 | 12.00% |
| Jun 30, 2023 | -0.43% |
| Apr 1, 2023 | 23.02% |
| Dec 31, 2022 | 14.62% |
| Sep 30, 2022 | -2.95% |
| Jun 30, 2022 | 2.80% |
| Apr 2, 2022 | 6.81% |
| Dec 31, 2021 | 18.72% |
V F 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=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();