Synopsys (SNPS) Selling, General & Administrative (2009 - 2026)
Synopsys' Selling, General & Administrative came in at $176.98 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 36.9% from $280.55 million a year earlier.
Synopsys (SNPS) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Synopsys reported Selling, General & Administrative of $825.78 million, up 9.2% year-over-year; for FY2025 (ended Oct 31, 2025), it was $769.65 million, up 35.4% from FY2024.
- Selling, General & Administrative has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Going back by fiscal year, Selling, General & Administrative was $568.5 million in FY2024 (+50.9%), $376.68 million in FY2023 (+20.1%), $313.55 million in FY2022 (-2.9%) and $322.99 million in FY2021 (+13.5%).
- The fiscal Q3 2026 figure represents the lowest quarterly Selling, General & Administrative since fiscal Q2 2025.
- Year-over-year, Selling, General & Administrative increased in six of the last seven quarters, with growth averaging 25.9%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q3 2025 (growth of 86.5%), and the weakest in fiscal Q3 2026 (a decline of 36.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 859.00 Mn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | - |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 322.33 Mn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 162.00 Mn |
| 10 | Synopsys | 87.08 Bn | 83.47 Bn | 1.80 Bn | 176.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 176.98 Mn |
| Jan 31, 2026 | 182.73 Mn |
| Oct 31, 2025 | 185.52 Mn |
| Jul 31, 2025 | 280.55 Mn |
| Apr 30, 2025 | 136.50 Mn |
| Jan 31, 2025 | 167.09 Mn |
| Oct 31, 2024 | 172.03 Mn |
| Jul 31, 2024 | 150.44 Mn |
| Apr 30, 2024 | 114.76 Mn |
| Jan 31, 2024 | 131.26 Mn |
| Oct 31, 2023 | 102.27 Mn |
| Jul 31, 2023 | 99.75 Mn |
| Apr 30, 2023 | 84.69 Mn |
| Jan 31, 2023 | 97.36 Mn |
| Oct 31, 2022 | 67.13 Mn |
| Jul 31, 2022 | 91.46 Mn |
| Apr 30, 2022 | 73.96 Mn |
| Jan 31, 2022 | 81.01 Mn |
| Oct 31, 2021 | 88.96 Mn |
| Jul 31, 2021 | 83.85 Mn |
Synopsys Selling, General & Administrative 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=selling-general-and-administrative&ticker=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();