Sysco (SYY) EBITDA (2009 - 2026)
Sysco (SYY) posted EBITDA of $1.24 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 9.9% from $1.12 billion a year earlier and up 42.0% from the prior quarter.
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Analysis
Sysco (SYY) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Sysco's EBITDA came in at $4.07 billion, up 0.9% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 13.3% (FY2021 to FY2026).
- In prior fiscal years, Sysco's EBITDA was $4.03 billion in FY2025 (-1.0%), $4.08 billion in FY2024 (+6.8%), $3.82 billion in FY2023 (+22.3%) and $3.12 billion in FY2022 (+42.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly EBITDA in data going back to fiscal Q3 2009.
- On a year-over-year basis, EBITDA increased in three of the last eight quarters, with an average decline of 0.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2022, with growth of 66.9%; the weakest was fiscal Q4 2025, with a decline of 6.5%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $870 million (Q3 2026), $932 million (Q2 2026) and $1.03 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 4.68 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 1.27 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 601.59 Mn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Performance Food | 15.21 Bn | 14.99 Bn | 2.17 Bn | 540.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.27 Bn |
| Mar 28, 2026 | 874.00 Mn |
| Dec 27, 2025 | 935.00 Mn |
| Sep 27, 2025 | 1.04 Bn |
| Jun 28, 2025 | 1.13 Bn |
| Mar 29, 2025 | 922.00 Mn |
| Dec 28, 2024 | 954.00 Mn |
| Sep 28, 2024 | 1.05 Bn |
| Jun 29, 2024 | 1.21 Bn |
| Mar 30, 2024 | 949.00 Mn |
| Dec 30, 2023 | 923.00 Mn |
| Sep 30, 2023 | 1.02 Bn |
| Jul 1, 2023 | 1.18 Bn |
| Apr 1, 2023 | 896.43 Mn |
| Dec 31, 2022 | 835.73 Mn |
| Oct 1, 2022 | 931.16 Mn |
| Jul 2, 2022 | 973.95 Mn |
| Apr 2, 2022 | 694.72 Mn |
| Jan 2, 2022 | 641.64 Mn |
| Oct 2, 2021 | 823.73 Mn |
API Access
Sysco 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=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SYY", "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=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();