US Foods Holding (USFD) Asset Writedowns and Impairment (2015 - 2022)
US Foods Holding's Asset Writedowns and Impairment came in at $13 million for FY2025.
Analysis
US Foods Holding (USFD) Asset Writedowns and Impairment (2015 - 2022) Analysis & Trends
Going back to FY2014, US Foods Holding's Asset Writedowns and Impairment data covers 8 years.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of 16.7% (FY2021 to FY2025).
- The FY2025 figure represents the highest annual Asset Writedowns and Impairment in data going back to FY2014.
- Per Business Quant, earlier years put Asset Writedowns and Impairment at $10 million in FY2022 (+42.9%) and $7 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 10.00 Mn |
| Jan 1, 2022 | -2.00 Mn |
| Dec 28, 2019 | 1.00 Mn |
| Dec 30, 2017 | 1.90 Mn |
| Dec 31, 2016 | -125,000.00 |
| Jul 2, 2016 | -875,000.00 |
| Mar 28, 2015 | 1.00 Mn |
API Access
US Foods Holding 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=USFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "USFD", "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=USFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();