Sysco (SYY) Shares Outstanding (2009 - 2026)
Sysco (SYY) recorded Weighted Average Shares Outstanding of 481.34 million in fiscal Q1 2027 (quarter ended Sep 26, 2026), up 0.5% from 478.76 million a year earlier and up 0.5% from the prior quarter.
Powered by 
Analysis
Sysco (SYY) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Sysco reported Weighted Average Shares Outstanding of 479.12 million, down 1.8% from FY2025.
- Annual Weighted Average Shares Outstanding has declined for four straight fiscal years, with a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- Across earlier fiscal years, Weighted Average Shares Outstanding came in at 488.14 million in FY2025 (-2.6%), 501.24 million in FY2024 (-1.2%), 507.36 million in FY2023 (-0.6%) and 510.63 million in FY2022 (unchanged).
- The fiscal Q1 2027 figure is the highest quarterly Weighted Average Shares Outstanding since fiscal Q4 2025.
- On a year-over-year basis, Weighted Average Shares Outstanding rose in 1 of the last six quarters, with an average decline of 1.9%.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 0.5% in fiscal Q1 2027, against a decline of 2.7% in fiscal Q2 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 1,016.23 Bn | 978.93 Bn | 49.13 Bn | 7.95 Bn |
| 2 | Costco Wholesale | 490.35 Bn | 413.63 Bn | 12.19 Bn | 443.95 Mn |
| 3 | Kroger | 41.83 Bn | 27.99 Bn | 7.86 Bn | 606.00 Mn |
| 4 | Sysco | 37.95 Bn | 29.87 Bn | 4.05 Bn | 481.34 Mn |
| 5 | Dollar General | 29.60 Bn | 24.27 Bn | 3.68 Bn | 220.61 Mn |
| 6 | Caseys General Stores | 26.32 Bn | 24.31 Bn | 1.24 Bn | 36.97 Mn |
| 7 | Dollar Tree | 25.91 Bn | 22.54 Bn | 2.10 Bn | 190.60 Mn |
| 8 | US Foods Holding | 23.28 Bn | 23.08 Bn | 1.90 Bn | 215.70 Mn |
| 9 | Tractor Supply | 18.93 Bn | 18.08 Bn | 1.42 Bn | 520.62 Mn |
| 10 | Performance Food | 17.44 Bn | 17.22 Bn | 2.19 Bn | 156.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 481.34 Mn |
| Jun 27, 2026 | 479.12 Mn |
| Mar 28, 2026 | 479.34 Mn |
| Dec 27, 2025 | 479.35 Mn |
| Sep 27, 2025 | 478.76 Mn |
| Jun 28, 2025 | 488.14 Mn |
| Mar 29, 2025 | 487.52 Mn |
| Dec 28, 2024 | 490.70 Mn |
| Sep 28, 2024 | 492.02 Mn |
| Jun 29, 2024 | 501.24 Mn |
| Mar 30, 2024 | 499.64 Mn |
| Dec 30, 2023 | 504.31 Mn |
| Sep 30, 2023 | 505.13 Mn |
| Jul 1, 2023 | 507.36 Mn |
| Apr 1, 2023 | 507.72 Mn |
| Dec 31, 2022 | 507.61 Mn |
| Oct 1, 2022 | 507.58 Mn |
| Jul 2, 2022 | 510.63 Mn |
| Apr 2, 2022 | 508.37 Mn |
| Jan 1, 2022 | 511.78 Mn |
API Access
Sysco Shares Outstanding 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=shares-outstanding&ticker=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();