Sysco (SYY) Cash & Equivalents (2009 - 2026)
Sysco (SYY) reported Cash & Equivalents of $1.79 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 66.8% from $1.07 billion a year earlier but down 6.0% from the prior quarter.
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Analysis
Sysco (SYY) Cash & Equivalents (2009 - 2026) Analysis & Trends
Dating back to fiscal Q3 2009, Sysco's Cash & Equivalents record includes 70 quarters.
- Cash & Equivalents has a five-year compound annual growth rate of -9.9% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $1.07 billion in FY2025 (+53.9%), $696 million in FY2024 (-6.6%), $745 million in FY2023 (-14.1%) and $867 million in FY2022 (-71.2%).
- Five-year quarterly Cash & Equivalents spans a low of $437.67 million in fiscal Q1 2023 and a high of $2.07 billion in fiscal Q1 2022.
- Year over year, Cash & Equivalents has now increased in each of the last six quarters, with growth averaging 47.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2025 (growth of 155.4%); the low point was fiscal Q3 2022 (a decline of 82.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.9 billion (Q3 2026), $1.22 billion (Q2 2026) and $844 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 92.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.79 Bn |
| Mar 28, 2026 | 1.90 Bn |
| Dec 27, 2025 | 1.22 Bn |
| Sep 27, 2025 | 844.00 Mn |
| Jun 28, 2025 | 1.07 Bn |
| Mar 29, 2025 | 1.53 Bn |
| Dec 28, 2024 | 793.00 Mn |
| Sep 28, 2024 | 733.00 Mn |
| Jun 29, 2024 | 696.00 Mn |
| Mar 30, 2024 | 598.00 Mn |
| Dec 30, 2023 | 962.00 Mn |
| Sep 30, 2023 | 569.00 Mn |
| Jul 1, 2023 | 745.00 Mn |
| Apr 1, 2023 | 757.87 Mn |
| Dec 31, 2022 | 500.34 Mn |
| Oct 1, 2022 | 437.67 Mn |
| Jul 2, 2022 | 867.00 Mn |
| Apr 2, 2022 | 876.14 Mn |
| Jan 2, 2022 | 1.37 Bn |
| Oct 2, 2021 | 2.07 Bn |
API Access
Sysco Cash & Equivalents 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=cash-and-equivalents&ticker=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();