Synopsys (SNPS) Long-Term Debt Repayments (2009 - 2026)
Synopsys (SNPS) reported Long-Term Debt Repayments of $3.45 billion for fiscal Q1 2026 (quarter ended Jan 31, 2026), compared with $1.29 million a year earlier and up 300.8% from the prior quarter.
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Analysis
Synopsys (SNPS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jan 31, 2026, Synopsys' Long-Term Debt Repayments came in at $4.31 billion; for FY2025 (ended Oct 31, 2025), it was $863.64 million.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- By fiscal year, Long-Term Debt Repayments came in at $2.61 million in FY2024 (+0.2%), $2.6 million in FY2023 (-96.6%), $76.84 million in FY2022 (+173.8%) and $28.06 million in FY2021 (-90.3%).
- The fiscal Q1 2026 figure ranks as the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q4 2009.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q3 2023 (growth of 45.4%); the low point was fiscal Q1 2023 (a decline of 98.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,250.68 Bn | 5,024.84 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,218.58 Bn | 1,843.44 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,597.97 Bn | 1,524.02 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 1,028.56 Bn | 934.19 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 885.33 Bn | 842.07 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 636.80 Bn | 592.48 Bn | 5.90 Bn | - |
| 7 | Intel | 476.46 Bn | 345.59 Bn | 6.51 Bn | 8.33 Bn |
| 8 | Lam Research | 333.04 Bn | 309.83 Bn | 3.48 Bn | 1.36 Mn |
| 9 | Applied Materials | 321.94 Bn | 287.38 Bn | 4.59 Bn | - |
| 10 | Synopsys | 85.69 Bn | 82.08 Bn | 1.80 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 3.45 Bn |
| Oct 31, 2025 | 861.06 Mn |
| Jul 31, 2025 | 1.29 Mn |
| Jan 31, 2025 | 1.29 Mn |
| Jul 31, 2024 | 1.30 Mn |
| Jan 31, 2024 | 1.30 Mn |
| Jul 31, 2023 | 1.31 Mn |
| Jan 31, 2023 | 1.29 Mn |
| Jul 31, 2022 | 900,000.00 |
| Jan 31, 2022 | 75.94 Mn |
| Oct 31, 2021 | 6.42 Mn |
| Jul 31, 2021 | 8.44 Mn |
| Apr 30, 2021 | 7.50 Mn |
| Jan 31, 2021 | 5.69 Mn |
| Oct 31, 2020 | 4.66 Mn |
| Jul 31, 2020 | 105.78 Mn |
| Apr 30, 2020 | 174.69 Mn |
| Jan 31, 2020 | 3.75 Mn |
| Oct 31, 2019 | 3.75 Mn |
| Jul 31, 2019 | 153.75 Mn |
API Access
Synopsys 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=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SNPS", "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=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();