Synopsys (SNPS) Cost of Revenue (2009 - 2026)
Synopsys (SNPS) recorded Cost of Revenue of $679.39 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 78.5% from $380.56 million a year earlier.
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Analysis
Synopsys (SNPS) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Synopsys' Cost of Revenue came in at $2.35 billion as of Jul 31, 2026, up 75.0% year-over-year; for FY2025 (ended Oct 31, 2025), it was $1.62 billion, up 30.4% from FY2024.
- Annual Cost of Revenue has increased for 16 straight fiscal years, with a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Across earlier fiscal years, Cost of Revenue came in at $1.25 billion in FY2024 (+20.8%), $1.03 billion in FY2023 (+14.8%), $898.01 million in FY2022 (+4.2%) and $861.78 million in FY2021 (+8.4%).
- The fiscal Q3 2026 figure is the highest quarterly Cost of Revenue in data going back to fiscal Q3 2009.
- On a year-over-year basis, Cost of Revenue rose in six of the last seven quarters, with growth averaging 50.5%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 144.5% in fiscal Q4 2023, against a decline of 50.1% in fiscal Q4 2022 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 6.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 5.41 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Synopsys | 93.87 Bn | 90.26 Bn | 1.80 Bn | 679.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 679.39 Mn |
| Jan 31, 2026 | 637.38 Mn |
| Oct 31, 2025 | 654.66 Mn |
| Jul 31, 2025 | 380.56 Mn |
| Apr 30, 2025 | 318.35 Mn |
| Jan 31, 2025 | 269.98 Mn |
| Oct 31, 2024 | 375.02 Mn |
| Jul 31, 2024 | 290.68 Mn |
| Apr 30, 2024 | 300.40 Mn |
| Jan 31, 2024 | 279.19 Mn |
| Oct 31, 2023 | 286.18 Mn |
| Jul 31, 2023 | 260.43 Mn |
| Apr 30, 2023 | 248.24 Mn |
| Jan 31, 2023 | 284.35 Mn |
| Oct 31, 2022 | 117.04 Mn |
| Jul 31, 2022 | 271.18 Mn |
| Apr 30, 2022 | 252.81 Mn |
| Jan 31, 2022 | 256.98 Mn |
| Oct 31, 2021 | 234.73 Mn |
| Jul 31, 2021 | 205.07 Mn |
API Access
Synopsys Cost of Revenue 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=cost-of-revenue&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();