Synopsys (SNPS) Change in Taxes (2009 - 2026)
Synopsys' Change in Taxes came in at $17.56 million for fiscal Q1 2026 (quarter ended Jan 31, 2026), down 79.8% from $86.99 million a year earlier and down 88.0% from the prior quarter.
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Analysis
Synopsys (SNPS) Change in Taxes (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jan 31, 2026, Synopsys reported Change in Taxes of -$63.08 million; for FY2025 (ended Oct 31, 2025), it was $6.35 million.
- Change in Taxes carries a five-year compound annual growth rate of -14.8% (FY2020 to FY2025).
- Going back by fiscal year, Change in Taxes was -$73.22 million in FY2024, $198.08 million in FY2023, $1.64 million in FY2022 (-94.3%) and $28.86 million in FY2021 (+104.4%).
- The five-year range for quarterly Change in Taxes is -$123.86 million (fiscal Q2 2025) to $168.74 million (fiscal Q4 2024).
- The fastest year-over-year change in Change in Taxes over five years came in fiscal Q1 2023 (growth of 669.1%), and the weakest in fiscal Q1 2026 (a decline of 79.8%).
- Business Quant data shows SNPS's Change in Taxes at $146.7 million (Q4 2025), -$103.48 million (Q3 2025) and -$123.86 million (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (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 | -646.00 Mn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 137.00 Mn |
| 10 | Synopsys | 83.34 Bn | 79.73 Bn | 1.80 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 17.56 Mn |
| Oct 31, 2025 | 146.70 Mn |
| Jul 31, 2025 | -103.48 Mn |
| Apr 30, 2025 | -123.86 Mn |
| Jan 31, 2025 | 86.99 Mn |
| Oct 31, 2024 | 168.74 Mn |
| Jul 31, 2024 | -12.42 Mn |
| Apr 30, 2024 | -111.74 Mn |
| Jan 31, 2024 | -117.80 Mn |
| Oct 31, 2023 | 74.15 Mn |
| Jul 31, 2023 | 29.34 Mn |
| Apr 30, 2023 | 44.17 Mn |
| Jan 31, 2023 | 50.42 Mn |
| Oct 31, 2022 | 62.38 Mn |
| Jul 31, 2022 | -26.49 Mn |
| Apr 30, 2022 | -40.80 Mn |
| Jan 31, 2022 | 6.56 Mn |
| Oct 31, 2021 | 58.27 Mn |
| Jul 31, 2021 | -21.03 Mn |
| Apr 30, 2021 | -20.61 Mn |
API Access
Synopsys Change in Taxes 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=change-in-taxes&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();