Sysco (SYY) Total Liabilities (2009 - 2026)
Sysco's Total Liabilities came in at $25.73 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 3.2% from $24.94 billion a year earlier and up 0.2% from the prior quarter.
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Analysis
Sysco (SYY) Total Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q3 2009, Sysco's Total Liabilities data covers 70 quarters.
- Total Liabilities has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $24.94 billion in FY2025 (+8.2%), $23.06 billion in FY2024 (+10.8%), $20.81 billion in FY2023 (+0.5%) and $20.7 billion in FY2022 (+4.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q3 2009.
- Year-over-year, Total Liabilities has increased for 18 consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2025 (growth of 11.9%), and the weakest in fiscal Q1 2022 (a decline of 4.7%).
- Business Quant data shows SYY's Total Liabilities at $25.69 billion (Q3 2026), $24.9 billion (Q2 2026) and $24.98 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 52.92 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 25.73 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 43.65 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 5.03 Bn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | 10.60 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 10.06 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | 9.53 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 13.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 25.73 Bn |
| Mar 28, 2026 | 25.69 Bn |
| Dec 27, 2025 | 24.90 Bn |
| Sep 27, 2025 | 24.98 Bn |
| Jun 28, 2025 | 24.94 Bn |
| Mar 29, 2025 | 24.43 Bn |
| Dec 28, 2024 | 23.30 Bn |
| Sep 28, 2024 | 23.67 Bn |
| Jun 29, 2024 | 23.06 Bn |
| Mar 30, 2024 | 22.61 Bn |
| Dec 30, 2023 | 22.34 Bn |
| Sep 30, 2023 | 21.15 Bn |
| Jul 1, 2023 | 20.81 Bn |
| Apr 1, 2023 | 21.13 Bn |
| Dec 31, 2022 | 20.65 Bn |
| Oct 1, 2022 | 21.10 Bn |
| Jul 2, 2022 | 20.70 Bn |
| Apr 2, 2022 | 21.00 Bn |
| Jan 2, 2022 | 20.21 Bn |
| Oct 2, 2021 | 20.43 Bn |
API Access
Sysco Total Liabilities 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=total-liabilities&ticker=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();