Td Synnex (SNX) Long-Term Debt Repayments (2010 - 2026)
Td Synnex's Long-Term Debt Repayments was $700.23 million in fiscal Q3 2026 (quarter ended Aug 31, 2026).
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Analysis
Td Synnex (SNX) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Td Synnex's Long-Term Debt Repayments was $1.3 billion through Aug 31, 2026; for FY2025 (ended Nov 30, 2025), it was $598.57 million, down 59.7% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -14.4% (FY2020 to FY2025).
- In earlier fiscal years, Long-Term Debt Repayments was $1.49 billion in FY2024, $74.41 million in FY2023 (-42.2%), $128.73 million in FY2022 (-94.3%) and $2.28 billion in FY2021 (+74.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q3 2024.
- Compared with a year earlier, Long-Term Debt Repayments was higher in 1 of the last five quarters, with an average decline of 58.5%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2026 (growth of 5.4%); the worst was fiscal Q2 2025 (a decline of 98.1%).
- Per Business Quant data, SNX's Long-Term Debt Repayments in the three fiscal quarters before Q3 2026 was $13.9 million (Q2 2026), $661,000 (Q1 2026) and $583.03 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn | - |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn | -1.44 Bn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn | 700.23 Mn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn | - |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn | 180.03 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn | 25.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 700.23 Mn |
| May 31, 2026 | 13.90 Mn |
| Feb 28, 2026 | 661,000.00 |
| Nov 30, 2025 | 583.03 Mn |
| May 31, 2025 | 14.91 Mn |
| Feb 28, 2025 | 627,000.00 |
| Nov 30, 2024 | 789,000.00 |
| Aug 31, 2024 | 700.89 Mn |
| May 31, 2024 | 766.51 Mn |
| Feb 29, 2024 | 18.20 Mn |
| Nov 30, 2023 | 21.66 Mn |
| Aug 31, 2023 | 19.31 Mn |
| May 31, 2023 | 12.28 Mn |
| Feb 28, 2023 | 21.17 Mn |
| Nov 30, 2022 | 57.32 Mn |
| Aug 31, 2022 | 19.33 Mn |
| May 31, 2022 | 31.68 Mn |
| Feb 28, 2022 | 20.40 Mn |
| Nov 30, 2021 | 2.28 Bn |
| Nov 30, 2016 | 3.25 Bn |
API Access
Td Synnex 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=SNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SNX", "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=SNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();