Sysco (SYY) Long-Term Debt Repayments (2009 - 2026)
Sysco's Long-Term Debt Repayments was $42 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), down 89.7% from $406 million a year earlier but up 16.7% from the prior quarter.
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Analysis
Sysco (SYY) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Long-Term Debt Repayments at Sysco came in at $908 million, up 65.4% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -14.6% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $549 million in FY2025 (+22.8%), $447 million in FY2024 (-46.1%), $830 million in FY2023 (+68.0%) and $494 million in FY2022 (-75.3%).
- Quarterly Long-Term Debt Repayments has moved between $10.05 million (fiscal Q1 2022) and $788 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last seven quarters, with growth averaging 19.1%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q3 2024 (growth of 527.2%); the worst was fiscal Q1 2022 (a decline of 98.7%).
- Per Business Quant data, SYY's Long-Term Debt Repayments in the three fiscal quarters before Q4 2026 was $36 million (Q3 2026), $788 million (Q2 2026) and $42 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 955.04 Bn | 911.47 Bn | 49.13 Bn | 799.00 Mn |
| 2 | Costco Wholesale | 448.59 Bn | 371.87 Bn | 12.19 Bn | -57.00 Mn |
| 3 | Kroger | 40.43 Bn | 26.58 Bn | 7.86 Bn | - |
| 4 | Sysco | 39.75 Bn | 34.00 Bn | 4.13 Bn | 42.00 Mn |
| 5 | Dollar General | 30.09 Bn | 24.77 Bn | 3.68 Bn | 7.80 Mn |
| 6 | Caseys General Stores | 26.08 Bn | 24.08 Bn | 1.24 Bn | 45.21 Mn |
| 7 | Dollar Tree | 24.36 Bn | 20.99 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 22.45 Bn | 22.25 Bn | 1.92 Bn | 2.84 Bn |
| 9 | Tractor Supply | 17.81 Bn | 16.98 Bn | 1.68 Bn | 1.49 Bn |
| 10 | Performance Food | 15.19 Bn | 14.98 Bn | 2.17 Bn | 65.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 42.00 Mn |
| Mar 28, 2026 | 36.00 Mn |
| Dec 27, 2025 | 788.00 Mn |
| Sep 27, 2025 | 42.00 Mn |
| Jun 28, 2025 | 406.00 Mn |
| Mar 29, 2025 | 52.00 Mn |
| Dec 28, 2024 | 47.00 Mn |
| Sep 28, 2024 | 44.00 Mn |
| Jun 29, 2024 | 108.00 Mn |
| Mar 30, 2024 | 151.00 Mn |
| Dec 30, 2023 | 168.00 Mn |
| Sep 30, 2023 | 20.00 Mn |
| Jul 1, 2023 | 748.66 Mn |
| Apr 1, 2023 | 24.08 Mn |
| Dec 31, 2022 | 39.17 Mn |
| Oct 1, 2022 | 18.10 Mn |
| Jul 2, 2022 | 455.63 Mn |
| Apr 2, 2022 | 15.32 Mn |
| Jan 2, 2022 | 13.00 Mn |
| Oct 2, 2021 | 10.05 Mn |
API Access
Sysco Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();