Sysco (SYY) Shares Outstanding (Diluted) (2009 - 2026)
Sysco's Shares Outstanding (Diluted) was 480.61 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), down 1.9% from 489.83 million a year earlier and down 0.1% from the prior quarter.
Sysco (SYY) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
From fiscal Q3 2009 onward, Sysco has reported Shares Outstanding (Diluted) for 70 quarters.
- Shares Outstanding (Diluted) has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Diluted) was 489.83 million in FY2025 (-2.6%), 503.1 million in FY2024 (-1.3%), 509.72 million in FY2023 (-0.8%) and 514.01 million in FY2022 (+0.1%).
- Quarterly Shares Outstanding (Diluted) has moved between 480.37 million (fiscal Q1 2026) and 515.78 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 16 straight quarters, with an average decline of 2.4% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was fiscal Q1 2022 (growth of 1.0%); the worst was fiscal Q1 2026 (a decline of 2.7%).
- Per Business Quant data, SYY's Shares Outstanding (Diluted) in the three fiscal quarters before Q4 2026 was 481.19 million (Q3 2026), 480.66 million (Q2 2026) and 480.37 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 7.98 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 444.43 Mn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 480.61 Mn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 608.00 Mn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 221.51 Mn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 37.14 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 190.90 Mn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 221.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 524.62 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 157.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 480.61 Mn |
| Mar 28, 2026 | 481.19 Mn |
| Dec 27, 2025 | 480.66 Mn |
| Sep 27, 2025 | 480.37 Mn |
| Jun 28, 2025 | 489.83 Mn |
| Mar 29, 2025 | 489.33 Mn |
| Dec 28, 2024 | 492.80 Mn |
| Sep 28, 2024 | 493.79 Mn |
| Jun 29, 2024 | 503.10 Mn |
| Mar 30, 2024 | 501.92 Mn |
| Dec 30, 2023 | 505.93 Mn |
| Sep 30, 2023 | 507.07 Mn |
| Jul 1, 2023 | 509.72 Mn |
| Apr 1, 2023 | 509.84 Mn |
| Dec 31, 2022 | 510.15 Mn |
| Oct 1, 2022 | 510.38 Mn |
| Jul 2, 2022 | 514.01 Mn |
| Apr 2, 2022 | 512.24 Mn |
| Jan 2, 2022 | 514.57 Mn |
| Oct 2, 2021 | 515.78 Mn |
Sysco Shares Outstanding (Diluted) 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-diluted&ticker=SYY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();