US Foods Holding (USFD) Selling, General & Administrative (2015 - 2026)
US Foods Holding (USFD) reported Selling, General & Administrative of $1.48 billion for Q2 2026, up 5.3% from $1.4 billion a year earlier and up 3.4% from the prior quarter.
US Foods Holding (USFD) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, US Foods Holding's Selling, General & Administrative came in at $5.75 billion, up 4.0% year-over-year; for FY2025, it came in at $5.63 billion, up 4.1% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a four-year compound annual growth rate of 7.5% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $5.41 billion in FY2024 (+5.8%), $5.12 billion in FY2023 (+4.7%), $4.89 billion in FY2022 (+15.8%) and $4.22 billion in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2016.
- Year over year, Selling, General & Administrative has now increased in each of the last 14 quarters, with growth averaging 4.3% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2024 (growth of 6.7%); the low point was Q4 2022 (a decline of 13.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.43 billion (Q1 2026), $1.39 billion (Q4 2025) and $1.46 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.48 Bn |
| Mar 28, 2026 | 1.43 Bn |
| Dec 27, 2025 | 1.39 Bn |
| Sep 27, 2025 | 1.46 Bn |
| Jun 28, 2025 | 1.40 Bn |
| Mar 29, 2025 | 1.39 Bn |
| Dec 28, 2024 | 1.36 Bn |
| Sep 28, 2024 | 1.38 Bn |
| Jun 29, 2024 | 1.35 Bn |
| Mar 30, 2024 | 1.32 Bn |
| Dec 30, 2023 | 1.30 Bn |
| Sep 30, 2023 | 1.31 Bn |
| Jul 1, 2023 | 1.27 Bn |
| Apr 1, 2023 | 1.24 Bn |
| Dec 31, 2022 | 1.25 Bn |
| Oct 1, 2022 | 1.25 Bn |
| Jul 2, 2022 | 1.23 Bn |
| Apr 2, 2022 | 1.16 Bn |
| Jan 1, 2022 | 1.44 Bn |
| Oct 2, 2021 | 1.10 Bn |
US Foods Holding Selling, General & Administrative 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=selling-general-and-administrative&ticker=USFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=USFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();