V F (VFC) Change in Accured Expenses (2009 - 2026)
V F (VFC) recorded Change in Accured Expenses of -$99.78 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), compared with -$110.21 million a year earlier.
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Analysis
V F (VFC) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, V F's Change in Accured Expenses came in at -$75.25 million as of Jun 27, 2026; for FY2026 (ended Mar 28, 2026), it came in at -$85.68 million.
- Across earlier fiscal years, Change in Accured Expenses came in at $48.85 million in FY2025 (+77.4%), $27.54 million in FY2024, -$16.08 million in FY2023 and $88.21 million in FY2022 (-12.8%).
- Quarterly Change in Accured Expenses has ranged from -$189.23 million in fiscal Q4 2023 to $305.27 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in 1 of the last four quarters, with an average decline of 30.2%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 172.8% in fiscal Q3 2024, against a decline of 87.9% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$161.76 million (Q4 2026), $4.96 million (Q3 2026) and $181.33 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | -1.22 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 99.80 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 53.30 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | -4.52 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | - |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | -99.78 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | 40.70 Mn |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn | 66.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -99.78 Mn |
| Mar 28, 2026 | -161.76 Mn |
| Dec 27, 2025 | 4.96 Mn |
| Sep 27, 2025 | 181.33 Mn |
| Jun 28, 2025 | -110.21 Mn |
| Mar 29, 2025 | -128.95 Mn |
| Dec 28, 2024 | 40.91 Mn |
| Sep 28, 2024 | 198.65 Mn |
| Jun 29, 2024 | -61.77 Mn |
| Mar 30, 2024 | -150.09 Mn |
| Dec 30, 2023 | 94.51 Mn |
| Sep 30, 2023 | 149.71 Mn |
| Jul 1, 2023 | -66.58 Mn |
| Apr 1, 2023 | -189.23 Mn |
| Dec 31, 2022 | 34.64 Mn |
| Oct 1, 2022 | 233.26 Mn |
| Jul 2, 2022 | -94.75 Mn |
| Apr 2, 2022 | -161.96 Mn |
| Jan 1, 2022 | 16.80 Mn |
| Oct 2, 2021 | 305.27 Mn |
API Access
V F Change in Accured Expenses 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-accured-expenses&ticker=VFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();