Synopsys (SNPS) Total Non-Current Liabilities (2009 - 2026)
Synopsys (SNPS) posted Total Non-Current Liabilities of $15.04 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 20.1% from $18.82 billion a year earlier.
Powered by 
Analysis
Synopsys (SNPS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Synopsys' Total Non-Current Liabilities came in at $18.25 billion, up 405.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 45.1% (FY2020 to FY2025).
- In prior fiscal years, Synopsys' Total Non-Current Liabilities was $3.61 billion in FY2024 (-4.9%), $3.8 billion in FY2023 (+6.4%), $3.57 billion in FY2022 (+16.6%) and $3.06 billion in FY2021 (+8.1%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last seven quarters, with growth averaging 210.6%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q3 2025, with growth of 442.4%; the weakest was fiscal Q3 2026, with a decline of 20.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 16.48 Bn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | 15.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.04 Bn |
| Jan 31, 2026 | 15.08 Bn |
| Oct 31, 2025 | 18.25 Bn |
| Jul 31, 2025 | 18.82 Bn |
| Apr 30, 2025 | 13.35 Bn |
| Jan 31, 2025 | 3.24 Bn |
| Oct 31, 2024 | 3.61 Bn |
| Jul 31, 2024 | 3.47 Bn |
| Apr 30, 2024 | 3.41 Bn |
| Jan 31, 2024 | 3.45 Bn |
| Oct 31, 2023 | 3.80 Bn |
| Jul 31, 2023 | 3.57 Bn |
| Apr 30, 2023 | 3.59 Bn |
| Jan 31, 2023 | 3.56 Bn |
| Oct 31, 2022 | 3.57 Bn |
| Jul 31, 2022 | 3.37 Bn |
| Apr 30, 2022 | 3.30 Bn |
| Jan 31, 2022 | 3.13 Bn |
| Oct 31, 2021 | 3.06 Bn |
| Jul 31, 2021 | 2.98 Bn |
API Access
Synopsys Total Non-Current 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-non-current-liabilities&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();