US Foods Holding (USFD) Cost of Revenue (2015 - 2026)
US Foods Holding (USFD) posted Cost of Revenue of $8.61 billion for Q2 2026, up 3.7% from $8.31 billion a year earlier and up 8.2% from the prior quarter.
US Foods Holding (USFD) Cost of Revenue (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Cost of Revenue at US Foods Holding was $33.09 billion, up 3.6% year-over-year; for FY2025, it came in at $32.56 billion, up 3.9% from FY2024.
- Annual Cost of Revenue has increased for four consecutive years, with a four-year compound annual growth rate of 7.0% (FY2021 to FY2025).
- In prior years, US Foods Holding's Cost of Revenue was $31.34 billion in FY2024 (+6.4%), $29.45 billion in FY2023 (+3.1%), $28.57 billion in FY2022 (+15.0%) and $24.83 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q4 2021.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 12 quarters, with growth averaging 4.4% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2024, with growth of 7.8%; the weakest was Q4 2022, with a decline of 34.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $7.96 billion (Q1 2026), $8.08 billion (Q4 2025) and $8.44 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 138.80 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 61.52 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 17.99 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 26.76 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 7.61 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 4.44 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 2.79 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 8.61 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 2.86 Bn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 15.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 8.61 Bn |
| Mar 28, 2026 | 7.96 Bn |
| Dec 27, 2025 | 8.08 Bn |
| Sep 27, 2025 | 8.44 Bn |
| Jun 28, 2025 | 8.31 Bn |
| Mar 29, 2025 | 7.74 Bn |
| Dec 28, 2024 | 7.83 Bn |
| Sep 28, 2024 | 8.06 Bn |
| Jun 29, 2024 | 8.00 Bn |
| Mar 30, 2024 | 7.45 Bn |
| Dec 30, 2023 | 7.35 Bn |
| Sep 30, 2023 | 7.56 Bn |
| Jul 1, 2023 | 7.42 Bn |
| Apr 1, 2023 | 7.12 Bn |
| Dec 31, 2022 | 7.06 Bn |
| Oct 1, 2022 | 7.46 Bn |
| Jul 2, 2022 | 7.44 Bn |
| Apr 2, 2022 | 6.60 Bn |
| Jan 1, 2022 | 10.80 Bn |
| Oct 2, 2021 | 6.65 Bn |
US Foods Holding Cost of Revenue 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=cost-of-revenue&ticker=USFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=USFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();