V F (VFC) Cash & Equivalents (2009 - 2026)
V F (VFC) posted Cash & Equivalents of $670.06 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 4.3% from $642.39 million a year earlier but down 18.7% from the prior quarter.
V F (VFC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), V F's Cash & Equivalents came in at $823.94 million, up 91.9% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 0.2% (FY2021 to FY2026).
- In prior fiscal years, V F's Cash & Equivalents was $429.38 million in FY2025 (-34.6%), $656.38 million in FY2024 (-17.9%), $799.44 million in FY2023 (-37.3%) and $1.28 billion in FY2022 (+56.4%).
- Quarterly Cash & Equivalents has run from a low of $419.12 million in fiscal Q2 2026 to a high of $1.47 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 12.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2026, with growth of 91.9%; the weakest was fiscal Q2 2023, with a decline of 59.4%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $823.94 million (Q4 2026), $1.47 billion (Q3 2026) and $419.12 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 670.06 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | 268.30 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn | 170.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 670.06 Mn |
| Mar 28, 2026 | 823.94 Mn |
| Dec 27, 2025 | 1.47 Bn |
| Sep 27, 2025 | 419.12 Mn |
| Jun 28, 2025 | 642.39 Mn |
| Mar 29, 2025 | 429.38 Mn |
| Dec 28, 2024 | 1.37 Bn |
| Sep 28, 2024 | 492.16 Mn |
| Jun 29, 2024 | 625.44 Mn |
| Mar 30, 2024 | 656.38 Mn |
| Dec 30, 2023 | 975.94 Mn |
| Sep 30, 2023 | 484.83 Mn |
| Jul 1, 2023 | 806.53 Mn |
| Apr 1, 2023 | 799.44 Mn |
| Dec 31, 2022 | 571.35 Mn |
| Oct 1, 2022 | 552.81 Mn |
| Jul 2, 2022 | 528.03 Mn |
| Apr 2, 2022 | 1.28 Bn |
| Jan 1, 2022 | 1.33 Bn |
| Oct 2, 2021 | 1.36 Bn |
V F Cash & Equivalents 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=cash-and-equivalents&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();