US Foods Holding (USFD) Accumulated Expenses (2016 - 2026)
US Foods Holding (USFD) recorded Accumulated Expenses of $799 million in Q2 2026, up 9.3% from $731 million a year earlier and up 2.7% from the prior quarter.
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Analysis
US Foods Holding (USFD) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, US Foods Holding reported Accumulated Expenses of $839 million, up 14.6% from FY2024.
- Annual Accumulated Expenses has increased for four straight years, with a four-year compound annual growth rate of 8.3% (FY2021 to FY2025).
- Across earlier years, Accumulated Expenses came in at $732 million in FY2024 (+0.1%), $731 million in FY2023 (+12.5%), $650 million in FY2022 (+6.6%) and $610 million in FY2021.
- Quarterly Accumulated Expenses has ranged from $601 million in Q2 2023 to $839 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for 12 consecutive quarters, with growth averaging 8.4% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 17.5% in Q2 2024, against a decline of 6.7% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $778 million (Q1 2026), $839 million (Q4 2025) and $823 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 955.63 Bn | 912.07 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 448.57 Bn | 371.85 Bn | 12.19 Bn |
| 3 | Kroger | 40.38 Bn | 26.53 Bn | 7.86 Bn |
| 4 | Sysco | 39.73 Bn | 33.98 Bn | 4.13 Bn |
| 5 | Dollar General | 30.21 Bn | 24.88 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 26.03 Bn | 24.02 Bn | 1.24 Bn |
| 7 | Dollar Tree | 24.41 Bn | 21.03 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.42 Bn | 22.22 Bn | 1.92 Bn |
| 9 | Tractor Supply | 18.06 Bn | 17.22 Bn | 1.68 Bn |
| 10 | Performance Food | 15.20 Bn | 14.99 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 799.00 Mn |
| Mar 28, 2026 | 778.00 Mn |
| Dec 27, 2025 | 839.00 Mn |
| Sep 27, 2025 | 823.00 Mn |
| Jun 28, 2025 | 731.00 Mn |
| Mar 29, 2025 | 747.00 Mn |
| Dec 28, 2024 | 732.00 Mn |
| Sep 28, 2024 | 777.00 Mn |
| Jun 29, 2024 | 706.00 Mn |
| Mar 30, 2024 | 651.00 Mn |
| Dec 30, 2023 | 731.00 Mn |
| Sep 30, 2023 | 677.00 Mn |
| Jul 1, 2023 | 601.00 Mn |
| Apr 1, 2023 | 602.00 Mn |
| Dec 31, 2022 | 650.00 Mn |
| Oct 1, 2022 | 671.00 Mn |
| Jul 2, 2022 | 644.00 Mn |
| Apr 2, 2022 | 635.00 Mn |
| Jan 1, 2022 | 610.00 Mn |
| Oct 2, 2021 | 592.00 Mn |
API Access
US Foods Holding Accumulated 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=accumulated-expenses&ticker=USFD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=USFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();