Sysco (SYY) Revenue (2009 - 2026)
Sysco (SYY) posted Revenue of $22.12 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 4.7% from $21.14 billion a year earlier and up 7.8% from the prior quarter.
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Analysis
Sysco (SYY) Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Sysco's Revenue came in at $84.55 billion, up 3.9% from FY2025.
- Annual Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- In prior fiscal years, Sysco's Revenue was $81.37 billion in FY2025 (+3.2%), $78.84 billion in FY2024 (+3.3%), $76.33 billion in FY2023 (+11.2%) and $68.64 billion in FY2022 (+33.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Revenue in data going back to fiscal Q3 2009.
- On a year-over-year basis, Revenue has increased in each of the last 21 quarters, with growth averaging 3.6% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 1.1% (fiscal Q3 2025) and 42.9% (fiscal Q3 2022) over the last five years.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $20.52 billion (Q3 2026), $20.76 billion (Q2 2026) and $21.15 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 4.54 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 18.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 22.12 Bn |
| Mar 28, 2026 | 20.52 Bn |
| Dec 27, 2025 | 20.76 Bn |
| Sep 27, 2025 | 21.15 Bn |
| Jun 28, 2025 | 21.14 Bn |
| Mar 29, 2025 | 19.60 Bn |
| Dec 28, 2024 | 20.15 Bn |
| Sep 28, 2024 | 20.48 Bn |
| Jun 29, 2024 | 20.56 Bn |
| Mar 30, 2024 | 19.38 Bn |
| Dec 30, 2023 | 19.29 Bn |
| Sep 30, 2023 | 19.62 Bn |
| Jul 1, 2023 | 19.73 Bn |
| Apr 1, 2023 | 18.88 Bn |
| Dec 31, 2022 | 18.59 Bn |
| Oct 1, 2022 | 19.13 Bn |
| Jul 2, 2022 | 18.96 Bn |
| Apr 2, 2022 | 16.90 Bn |
| Jan 2, 2022 | 16.32 Bn |
| Oct 2, 2021 | 16.46 Bn |
API Access
Sysco 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=revenue&ticker=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();