US Foods Holding (USFD) EBITDA (2015 - 2026)
US Foods Holding (USFD) posted EBITDA of $561 million for Q2 2026, up 15.2% from $487 million a year earlier and up 67.5% from the prior quarter.
Powered by 
Analysis
US Foods Holding (USFD) EBITDA (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBITDA at US Foods Holding was $1.73 billion, up 6.3% year-over-year; for FY2025, it was $1.66 billion, up 8.1% from FY2024.
- Annual EBITDA has increased for four consecutive years, with a four-year compound annual growth rate of 20.0% (FY2021 to FY2025).
- In prior years, US Foods Holding's EBITDA was $1.54 billion in FY2024 (+8.9%), $1.41 billion in FY2023 (+46.2%), $966 million in FY2022 (+20.4%) and $802 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q4 2021.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 9.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2023, with growth of 131.7%; the weakest was Q4 2022, with a decline of 50.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $335 million (Q1 2026), $438 million (Q4 2025) and $400 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.41 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 1.24 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 601.08 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 537.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 561.00 Mn |
| Mar 28, 2026 | 335.00 Mn |
| Dec 27, 2025 | 438.00 Mn |
| Sep 27, 2025 | 400.00 Mn |
| Jun 28, 2025 | 487.00 Mn |
| Mar 29, 2025 | 336.00 Mn |
| Dec 28, 2024 | 413.00 Mn |
| Sep 28, 2024 | 396.00 Mn |
| Jun 29, 2024 | 463.00 Mn |
| Mar 30, 2024 | 273.00 Mn |
| Dec 30, 2023 | 383.00 Mn |
| Sep 30, 2023 | 331.00 Mn |
| Jul 1, 2023 | 420.00 Mn |
| Apr 1, 2023 | 292.00 Mn |
| Dec 31, 2022 | 295.00 Mn |
| Oct 1, 2022 | 310.00 Mn |
| Jul 2, 2022 | 245.00 Mn |
| Apr 2, 2022 | 126.00 Mn |
| Jan 1, 2022 | 593.00 Mn |
| Oct 2, 2021 | 214.00 Mn |
API Access
US Foods Holding EBITDA 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=ebitda&ticker=USFD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=USFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();