V F (VFC) Change in Cash (2009 - 2026)
V F's (VFC) quarterly Change in Cash came in at -$151.8 million in Q2 2026, down 169.99% year-over-year from $216.9 million in Q2 2025, and up 76.55% quarter-over-quarter from -$647.2 million in Q1 2026.
V F (VFC) Change in Cash (2009 - 2026) Analysis & Trends
V F has disclosed Change in Cash across 18 years of filings, most recently posting -$151.8 million for Q2 2026.
- In Q2 2026, Change in Cash fell 169.99% year-over-year to -$151.8 million; the TTM figure through Jun 2026 stood at $32.2 million (up 284.14% YoY), while the FY2026 annual figure was $400.9 million, up 263.3% from the prior year.
- Change in Cash came in at -$151.8 million for Q2 2026 at V F, up from -$647.2 million in the prior quarter.
- In the past five years, Change in Cash ranged from a high of $1.0 billion in Q4 2025 to a low of -$939.8 million in Q1 2025.
- Average Change in Cash over 5 years is -$35.8 million, with a median of -$37.0 million recorded in 2024.
- The largest YoY upside for Change in Cash was 2517.25% in 2023 against a maximum downside of 1318.72% in 2023.
- Over 5 years, Change in Cash stood at $18.7 million in 2022, then surged by 2517.25% to $489.1 million in 2023, then soared by 75.16% to $856.7 million in 2024, then grew by 21.87% to $1.0 billion in 2025, then sank by 114.54% to -$151.8 million in 2026.
- Per Business Quant data, the three most recent Change in Cash figures were -$151.8 million in Q2 2026, -$647.2 million in Q1 2026, and $1.0 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | -124.99 Mn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 132.70 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 26.75 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | -151.77 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | - |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 373.40 Mn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 212.96 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 4.43 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 34.24 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn | 86.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -151.77 Mn |
| Mar 28, 2026 | -647.21 Mn |
| Dec 27, 2025 | 1.04 Bn |
| Sep 27, 2025 | -212.83 Mn |
| Jun 28, 2025 | 216.86 Mn |
| Mar 29, 2025 | -939.83 Mn |
| Dec 28, 2024 | 856.68 Mn |
| Sep 28, 2024 | -125.31 Mn |
| Jun 29, 2024 | -37.02 Mn |
| Mar 30, 2024 | -312.36 Mn |
| Dec 30, 2023 | 489.09 Mn |
| Sep 30, 2023 | -307.89 Mn |
| Jul 1, 2023 | -8.20 Mn |
| Apr 1, 2023 | 243.33 Mn |
| Dec 31, 2022 | 18.69 Mn |
| Oct 1, 2022 | 25.26 Mn |
| Jul 2, 2022 | -748.05 Mn |
| Apr 2, 2022 | -57.91 Mn |
| Jan 1, 2022 | -26.62 Mn |
| Oct 2, 2021 | 85.02 Mn |
V F Change in Cash 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=change-in-cash&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();