Synopsys (SNPS) Other Operating Expenses (2009 - 2026)
Synopsys' Other Operating Expenses came in at $541.03 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 87.8% from $288.05 million a year earlier.
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Analysis
Synopsys (SNPS) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Synopsys reported Other Operating Expenses of $1.93 billion, up 104.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.09 billion, up 53.6% from FY2024.
- Other Operating Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Going back by fiscal year, Other Operating Expenses was $712.68 million in FY2024 (+20.2%), $592.83 million in FY2023 (+7.7%), $550.47 million in FY2022 (-12.2%) and $627.31 million in FY2021 (+13.7%).
- The five-year range for quarterly Other Operating Expenses is $60 million (fiscal Q4 2022) to $552.35 million (fiscal Q1 2026).
- Year-over-year, Other Operating Expenses increased in six of the last seven quarters, with growth averaging 62.9%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2023 (growth of 217.2%), and the weakest in fiscal Q4 2022 (a decline of 70.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Synopsys | 83.34 Bn | 79.73 Bn | 1.80 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 541.03 Mn |
| Jan 31, 2026 | 552.35 Mn |
| Oct 31, 2025 | 546.45 Mn |
| Jul 31, 2025 | 288.05 Mn |
| Apr 30, 2025 | 219.02 Mn |
| Jan 31, 2025 | 213.20 Mn |
| Oct 31, 2024 | 223.31 Mn |
| Jul 31, 2024 | 215.55 Mn |
| Apr 30, 2024 | 214.34 Mn |
| Jan 31, 2024 | 222.37 Mn |
| Oct 31, 2023 | 190.30 Mn |
| Jul 31, 2023 | 187.78 Mn |
| Apr 30, 2023 | 182.56 Mn |
| Jan 31, 2023 | 217.50 Mn |
| Oct 31, 2022 | 60.00 Mn |
| Jul 31, 2022 | 206.37 Mn |
| Apr 30, 2022 | 198.49 Mn |
| Jan 31, 2022 | 189.51 Mn |
| Oct 31, 2021 | 206.33 Mn |
| Jul 31, 2021 | 180.00 Mn |
API Access
Synopsys Other Operating 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=other-operating-expenses&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();