US Foods Holding (USFD) Operating Expenses (2015 - 2026)
US Foods Holding's Operating Expenses came in at $1.48 billion for Q2 2026, up 5.1% from $1.41 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
US Foods Holding (USFD) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, US Foods Holding reported Operating Expenses of $5.78 billion, up 4.3% year-over-year; for FY2025, it was $5.67 billion, up 4.2% from FY2024.
- Operating Expenses has increased in each of the last four years, with a four-year compound annual growth rate of 7.6% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $5.44 billion in FY2024 (+5.9%), $5.13 billion in FY2023 (+4.8%), $4.9 billion in FY2022 (+15.8%) and $4.23 billion in FY2021.
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q4 2015.
- Year-over-year, Operating Expenses has increased for 14 consecutive quarters, with growth averaging 4.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2024 (growth of 7.4%), and the weakest in Q4 2022 (a decline of 11.0%).
- Business Quant data shows USFD's Operating Expenses at $1.44 billion (Q1 2026), $1.4 billion (Q4 2025) and $1.47 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 1.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.48 Bn |
| Mar 28, 2026 | 1.44 Bn |
| Dec 27, 2025 | 1.40 Bn |
| Sep 27, 2025 | 1.47 Bn |
| Jun 28, 2025 | 1.41 Bn |
| Mar 29, 2025 | 1.39 Bn |
| Dec 28, 2024 | 1.36 Bn |
| Sep 28, 2024 | 1.39 Bn |
| Jun 29, 2024 | 1.35 Bn |
| Mar 30, 2024 | 1.33 Bn |
| Dec 30, 2023 | 1.31 Bn |
| Sep 30, 2023 | 1.31 Bn |
| Jul 1, 2023 | 1.27 Bn |
| Apr 1, 2023 | 1.24 Bn |
| Dec 31, 2022 | 1.26 Bn |
| Oct 1, 2022 | 1.25 Bn |
| Jul 2, 2022 | 1.23 Bn |
| Apr 2, 2022 | 1.16 Bn |
| Jan 1, 2022 | 1.41 Bn |
| Oct 2, 2021 | 1.11 Bn |
API Access
US Foods Holding Operating 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=operating-expenses&ticker=USFD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=USFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();