Synopsys (SNPS) EBT (2009 - 2026)
Synopsys (SNPS) posted EBT of $683.92 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 261.3% from $189.31 million a year earlier.
Synopsys (SNPS) EBT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBT at Synopsys was $1.47 billion, up 22.5% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $1.39 billion, down 8.0% from FY2024.
- Annual EBT shows a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- In prior fiscal years, Synopsys' EBT was $1.51 billion in FY2024 (+16.0%), $1.31 billion in FY2023 (+18.3%), $1.1 billion in FY2022 (+37.0%) and $805.51 million in FY2021 (+26.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBT in data going back to fiscal Q3 2009.
- On a year-over-year basis, EBT increased in three of the last seven quarters, with growth averaging 22.3%.
- The strongest year-over-year quarter for EBT in the past five years was fiscal Q3 2026, with growth of 261.3%; the weakest was fiscal Q1 2026, with a decline of 72.8%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 71.51 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 27.29 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 15.28 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 33.21 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 2.55 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | -10.82 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 2.56 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 2.91 Bn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | 683.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 683.92 Mn |
| Jan 31, 2026 | 79.05 Mn |
| Oct 31, 2025 | 516.52 Mn |
| Jul 31, 2025 | 189.31 Mn |
| Apr 30, 2025 | 396.19 Mn |
| Jan 31, 2025 | 291.12 Mn |
| Oct 31, 2024 | 322.88 Mn |
| Jul 31, 2024 | 392.00 Mn |
| Apr 30, 2024 | 341.53 Mn |
| Jan 31, 2024 | 457.45 Mn |
| Oct 31, 2023 | 403.77 Mn |
| Jul 31, 2023 | 325.56 Mn |
| Apr 30, 2023 | 296.59 Mn |
| Jan 31, 2023 | 279.22 Mn |
| Oct 31, 2022 | 200.07 Mn |
| Jul 31, 2022 | 236.35 Mn |
| Apr 30, 2022 | 339.79 Mn |
| Jan 31, 2022 | 327.24 Mn |
| Oct 31, 2021 | 199.08 Mn |
| Jul 31, 2021 | 213.34 Mn |
Synopsys EBT 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=ebt&ticker=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();