V F (VFC) Asset Writedowns and Impairment (2016 - 2025)
V F (VFC) recorded Asset Writedowns and Impairment of $30.72 million in FY2026 (year ended Mar 28, 2026), down 65.6% from $89.24 million in FY2025.
Analysis
V F (VFC) Asset Writedowns and Impairment (2016 - 2025) Analysis & Trends
Starting with FY2010, V F's Asset Writedowns and Impairment history includes 8 fiscal years.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of 8.6% (FY2021 to FY2026).
- The FY2026 figure is the lowest annual Asset Writedowns and Impairment since FY2021.
- Per Business Quant data, VFC's Asset Writedowns and Impairment was $89.24 million in FY2025 (-82.4%) and $507.6 million in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 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 |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 30.72 Mn |
| Mar 29, 2025 | -145.00 Mn |
| Dec 28, 2024 | 51.00 Mn |
| Jun 29, 2024 | 145.00 Mn |
| Mar 30, 2024 | 250.50 Mn |
| Dec 30, 2023 | 257.10 Mn |
| Apr 1, 2023 | -421.92 Mn |
| Oct 1, 2022 | 421.92 Mn |
| Dec 30, 2017 | -104.65 Mn |
| Sep 30, 2017 | 104.65 Mn |
| Dec 31, 2016 | 79.64 Mn |
API Access
V F Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();