Synopsys (SNPS) Capital Expenditures (2009 - 2026)
Synopsys' Capital Expenditures came in at $35.32 million for fiscal Q1 2026 (quarter ended Jan 31, 2026), down 13.3% from $40.72 million a year earlier but up 2.2% from the prior quarter.
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Analysis
Synopsys (SNPS) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jan 31, 2026, Synopsys reported Capital Expenditures of $164.06 million, up 17.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $169.45 million, up 21.5% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Going back by fiscal year, Capital Expenditures was $139.5 million in FY2024 (-26.4%), $189.62 million in FY2023 (+38.8%), $136.59 million in FY2022 (+45.7%) and $93.76 million in FY2021 (-39.4%).
- The five-year range for quarterly Capital Expenditures is $16.28 million (fiscal Q2 2021) to $55.59 million (fiscal Q2 2025).
- Year-over-year, Capital Expenditures increased in three of the last eight quarters, with growth averaging 0.4%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q2 2023 (growth of 86.9%), and the weakest in fiscal Q4 2024 (a decline of 61.0%).
- Business Quant data shows SNPS's Capital Expenditures at $34.55 million (Q4 2025), $38.61 million (Q3 2025) and $55.59 million (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 35.32 Mn |
| Oct 31, 2025 | 34.55 Mn |
| Jul 31, 2025 | 38.61 Mn |
| Apr 30, 2025 | 55.59 Mn |
| Jan 31, 2025 | 40.72 Mn |
| Oct 31, 2024 | 20.73 Mn |
| Jul 31, 2024 | 40.01 Mn |
| Apr 30, 2024 | 38.37 Mn |
| Jan 31, 2024 | 40.39 Mn |
| Oct 31, 2023 | 53.10 Mn |
| Jul 31, 2023 | 45.15 Mn |
| Apr 30, 2023 | 47.87 Mn |
| Jan 31, 2023 | 43.50 Mn |
| Oct 31, 2022 | 33.66 Mn |
| Jul 31, 2022 | 35.57 Mn |
| Apr 30, 2022 | 25.62 Mn |
| Jan 31, 2022 | 41.75 Mn |
| Oct 31, 2021 | 26.81 Mn |
| Jul 31, 2021 | 22.90 Mn |
| Apr 30, 2021 | 16.28 Mn |
API Access
Synopsys Capital Expenditures 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=capital-expenditures&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();