Synopsys (SNPS) EBITDA (2009 - 2026)
Synopsys (SNPS) recorded EBITDA of $759.92 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 159.1% from $293.24 million a year earlier.
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Analysis
Synopsys (SNPS) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Synopsys' EBITDA came in at $2.31 billion as of Jul 31, 2026, up 55.5% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.63 billion, down 5.6% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $1.72 billion in FY2024 (+7.6%), $1.6 billion in FY2023 (+10.5%), $1.45 billion in FY2022 (+44.6%) and $1 billion in FY2021 (+12.5%).
- The fiscal Q3 2026 figure is the highest quarterly EBITDA in data going back to fiscal Q4 2009.
- On a year-over-year basis, EBITDA rose in four of the last seven quarters, with growth averaging 34.1%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 159.1% in fiscal Q3 2026, against a decline of 32.7% in fiscal Q3 2025 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 64.86 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 | 18.17 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 3.23 Bn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | 759.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 759.92 Mn |
| Jan 31, 2026 | 673.01 Mn |
| Oct 31, 2025 | 584.83 Mn |
| Jul 31, 2025 | 293.24 Mn |
| Apr 30, 2025 | 438.27 Mn |
| Jan 31, 2025 | 312.24 Mn |
| Oct 31, 2024 | 442.23 Mn |
| Jul 31, 2024 | 435.63 Mn |
| Apr 30, 2024 | 412.26 Mn |
| Jan 31, 2024 | 434.24 Mn |
| Oct 31, 2023 | 511.77 Mn |
| Jul 31, 2023 | 385.29 Mn |
| Apr 30, 2023 | 372.70 Mn |
| Jan 31, 2023 | 332.08 Mn |
| Oct 31, 2022 | 281.33 Mn |
| Jul 31, 2022 | 311.57 Mn |
| Apr 30, 2022 | 431.78 Mn |
| Jan 31, 2022 | 425.46 Mn |
| Oct 31, 2021 | 260.39 Mn |
| Jul 31, 2021 | 269.63 Mn |
API Access
Synopsys EBITDA 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=ebitda&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();