Synopsys (SNPS) Cash from Operations (2009 - 2026)
Synopsys' Cash from Operations came in at $856.83 million for fiscal Q1 2026 (quarter ended Jan 31, 2026), compared with -$67.46 million a year earlier and up 33.9% from the prior quarter.
Synopsys (SNPS) Cash from Operations (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jan 31, 2026, Synopsys reported Cash from Operations of $2.44 billion, up 71.1% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.52 billion, up 7.9% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- Going back by fiscal year, Cash from Operations was $1.41 billion in FY2024 (-17.4%), $1.7 billion in FY2023 (-2.0%), $1.74 billion in FY2022 (+16.5%) and $1.49 billion in FY2021 (+50.6%).
- The fiscal Q1 2026 figure represents the highest quarterly Cash from Operations in data going back to fiscal Q4 2009.
- Year-over-year, Cash from Operations increased in three of the last six quarters, with growth averaging 6.8%.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q4 2021 (growth of 83.3%), and the weakest in fiscal Q2 2025 (a decline of 42.2%).
- Business Quant data shows SNPS's Cash from Operations at $639.74 million (Q4 2025), $670.96 million (Q3 2025) and $275.37 million (Q2 2025) in the three fiscal quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 24.08 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 | 14.20 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 25.39 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 2.37 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 7.01 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 1.46 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 3.04 Bn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 856.83 Mn |
| Oct 31, 2025 | 639.74 Mn |
| Jul 31, 2025 | 670.96 Mn |
| Apr 30, 2025 | 275.37 Mn |
| Jan 31, 2025 | -67.46 Mn |
| Oct 31, 2024 | 562.82 Mn |
| Jul 31, 2024 | 455.41 Mn |
| Apr 30, 2024 | 476.59 Mn |
| Jan 31, 2024 | -87.79 Mn |
| Oct 31, 2023 | 326.06 Mn |
| Jul 31, 2023 | 559.52 Mn |
| Apr 30, 2023 | 702.94 Mn |
| Jan 31, 2023 | 114.75 Mn |
| Oct 31, 2022 | 393.51 Mn |
| Jul 31, 2022 | 439.69 Mn |
| Apr 30, 2022 | 749.96 Mn |
| Jan 31, 2022 | 155.74 Mn |
| Oct 31, 2021 | 370.56 Mn |
| Jul 31, 2021 | 421.77 Mn |
| Apr 30, 2021 | 526.34 Mn |
Synopsys Cash from Operations 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=cash-from-operations&ticker=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();