Synopsys (SNPS) Interest Expenses (2012 - 2026)
Synopsys (SNPS) recorded Interest Expenses of $133.23 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 9.1% from $146.5 million a year earlier.
Synopsys (SNPS) Interest Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Synopsys' Interest Expenses came in at $637.2 million as of Jul 31, 2026, up 137.5% year-over-year; for FY2025 (ended Oct 31, 2025), it was $446.73 million.
- Across earlier fiscal years, Interest Expenses came in at $36.83 million in FY2024 and $2.7 million in FY2023.
- The fiscal Q3 2026 figure is the lowest quarterly Interest Expenses since fiscal Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | -97.61 Mn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 778.00 Mn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 37.00 Mn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | - |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 68.00 Mn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | 133.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 133.23 Mn |
| Jan 31, 2026 | 162.72 Mn |
| Oct 31, 2025 | 194.75 Mn |
| Jul 31, 2025 | 146.50 Mn |
| Apr 30, 2025 | 94.34 Mn |
| Jan 31, 2025 | 11.14 Mn |
| Oct 31, 2024 | 16.28 Mn |
| Jul 31, 2024 | 11.74 Mn |
| Apr 30, 2024 | 7.07 Mn |
| Apr 30, 2014 | 582,000.00 |
| Jan 31, 2014 | 357,000.00 |
| Oct 31, 2013 | 371,000.00 |
| Jul 31, 2013 | 404,000.00 |
| Apr 30, 2013 | 456,000.00 |
| Jan 31, 2013 | 464,000.00 |
| Oct 31, 2012 | 528,000.00 |
| Jul 31, 2012 | 736,000.00 |
| Apr 30, 2012 | 710,000.00 |
| Jan 31, 2012 | 17,000.00 |
Synopsys Interest Expenses 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=interest-expenses&ticker=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();