Synopsys (SNPS) Buildings (2010 - 2025)
Synopsys (SNPS) reported Buildings of $100.02 million for fiscal Q4 2025 (quarter ended Oct 31, 2025), down 3.6% from $103.78 million a year earlier.
Analysis
Synopsys (SNPS) Buildings (2010 - 2025) Analysis & Trends
Dating back to fiscal Q4 2010, Synopsys' Buildings record includes 16 quarters.
- Buildings has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- By fiscal year, Buildings came in at $103.78 million in FY2024 (-23.3%), $135.26 million in FY2023 (-0.3%), $135.72 million in FY2022 (+0.6%) and $134.93 million in FY2021 (+4.0%).
- The fiscal Q4 2025 figure ranks as the lowest quarterly Buildings since fiscal Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 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 |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 100.02 Mn |
| Oct 31, 2024 | 103.78 Mn |
| Oct 31, 2023 | 135.26 Mn |
| Oct 31, 2022 | 135.72 Mn |
| Oct 31, 2021 | 134.93 Mn |
| Oct 31, 2020 | 129.75 Mn |
| Oct 31, 2019 | 68.71 Mn |
| Oct 31, 2018 | 68.52 Mn |
| Oct 31, 2017 | 68.88 Mn |
| Oct 31, 2016 | 68.19 Mn |
| Oct 31, 2015 | 67.94 Mn |
| Oct 31, 2014 | 68.87 Mn |
| Oct 31, 2013 | 69.35 Mn |
| Oct 31, 2012 | 70.24 Mn |
| Oct 31, 2011 | 53.93 Mn |
| Oct 31, 2010 | 55.45 Mn |
API Access
Synopsys Buildings 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=buildings&ticker=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();