US Foods Holding (USFD) Change in Receivables (2016 - 2026)
US Foods Holding (USFD) posted Change in Receivables of $88 million for Q2 2026, up 57.1% from $56 million a year earlier but down 58.3% from the prior quarter.
US Foods Holding (USFD) Change in Receivables (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Change in Receivables at US Foods Holding was $164 million, down 13.2% year-over-year; for FY2025, it came in at $95 million, down 32.1% from FY2024.
- Annual Change in Receivables has declined for four consecutive years, with a four-year compound annual growth rate of -29.6% (FY2021 to FY2025).
- In prior years, US Foods Holding's Change in Receivables was $140 million in FY2024 (-10.8%), $157 million in FY2023 (-34.6%), $240 million in FY2022 (-37.8%) and $386 million in FY2021.
- Quarterly Change in Receivables has run from a low of -$234 million in Q4 2025 to a high of $568 million in Q4 2021 over five years.
- On a year-over-year basis, Change in Receivables increased in five of the last six quarters, with growth averaging 114.5%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q2 2025, with growth of 600.0%; the weakest was Q2 2023, with a decline of 98.3%.
- According to Business Quant data, Change in Receivables for the three prior quarters was $211 million (Q1 2026), -$234 million (Q4 2025) and $99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 386.00 Mn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | - |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 134.00 Mn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | - |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 7.30 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 88.00 Mn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | - |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 182.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 88.00 Mn |
| Mar 28, 2026 | 211.00 Mn |
| Dec 27, 2025 | -234.00 Mn |
| Sep 27, 2025 | 99.00 Mn |
| Jun 28, 2025 | 56.00 Mn |
| Mar 29, 2025 | 174.00 Mn |
| Dec 28, 2024 | -142.00 Mn |
| Sep 28, 2024 | 101.00 Mn |
| Jun 29, 2024 | 8.00 Mn |
| Mar 30, 2024 | 173.00 Mn |
| Dec 30, 2023 | -134.00 Mn |
| Sep 30, 2023 | 92.00 Mn |
| Jul 1, 2023 | 2.00 Mn |
| Apr 1, 2023 | 197.00 Mn |
| Dec 31, 2022 | -195.00 Mn |
| Oct 1, 2022 | 72.00 Mn |
| Jul 2, 2022 | 120.00 Mn |
| Apr 2, 2022 | 243.00 Mn |
| Jan 1, 2022 | 568.00 Mn |
| Apr 3, 2021 | 315.00 Mn |
US Foods Holding Change in Receivables 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-receivables&ticker=USFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=USFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();