Synopsys (SNPS) Total Current Liabilities (2009 - 2026)
Synopsys' Total Current Liabilities came in at $4.97 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 44.3% from $3.44 billion a year earlier.
Synopsys (SNPS) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Synopsys' Total Current Liabilities was $3.72 billion, up 40.5% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Going back by fiscal year, Total Current Liabilities was $2.65 billion in FY2024 (-11.2%), $2.99 billion in FY2023 (+7.6%), $2.77 billion in FY2022 (+15.0%) and $2.41 billion in FY2021 (+12.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2009.
- Year-over-year, Total Current Liabilities increased in four of the last seven quarters, with growth averaging 23.1%.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q1 2026 (growth of 67.2%), and the weakest in fiscal Q4 2024 (a decline of 11.2%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 58.78 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 19.49 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 28.24 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | 4.97 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.97 Bn |
| Jan 31, 2026 | 3.94 Bn |
| Oct 31, 2025 | 3.72 Bn |
| Jul 31, 2025 | 3.44 Bn |
| Apr 30, 2025 | 2.41 Bn |
| Jan 31, 2025 | 2.36 Bn |
| Oct 31, 2024 | 2.65 Bn |
| Jul 31, 2024 | 2.53 Bn |
| Apr 30, 2024 | 2.51 Bn |
| Jan 31, 2024 | 2.64 Bn |
| Oct 31, 2023 | 2.99 Bn |
| Jul 31, 2023 | 2.73 Bn |
| Apr 30, 2023 | 2.75 Bn |
| Jan 31, 2023 | 2.72 Bn |
| Oct 31, 2022 | 2.77 Bn |
| Jul 31, 2022 | 2.55 Bn |
| Apr 30, 2022 | 2.46 Bn |
| Jan 31, 2022 | 2.47 Bn |
| Oct 31, 2021 | 2.41 Bn |
| Jul 31, 2021 | 2.33 Bn |
Synopsys Total 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-current-liabilities&ticker=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();