Synopsys (SNPS) Property, Plant & Equipment (Net) (2009 - 2026)
Synopsys' Property, Plant & Equipment (Net) was $749.6 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 7.1% from $699.69 million a year earlier.
Synopsys (SNPS) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Property, Plant & Equipment (Net) at Synopsys came in at $696.69 million, up 23.7% from FY2024.
- Property, Plant & Equipment (Net) has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $563.01 million in FY2024 (+2.4%), $549.84 million in FY2023 (+13.8%), $483.3 million in FY2022 (+2.3%) and $472.4 million in FY2021 (-2.4%).
- The fiscal Q3 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2009.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in six of the last seven quarters, with growth averaging 11.0%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q1 2026 (growth of 23.8%); the worst was fiscal Q1 2025 (a decline of 3.6%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Synopsys | 93.87 Bn | 90.26 Bn | 1.80 Bn | 749.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 749.60 Mn |
| Jan 31, 2026 | 676.69 Mn |
| Oct 31, 2025 | 696.69 Mn |
| Jul 31, 2025 | 699.69 Mn |
| Apr 30, 2025 | 571.98 Mn |
| Jan 31, 2025 | 546.41 Mn |
| Oct 31, 2024 | 563.01 Mn |
| Jul 31, 2024 | 571.41 Mn |
| Apr 30, 2024 | 566.83 Mn |
| Jan 31, 2024 | 567.04 Mn |
| Oct 31, 2023 | 549.84 Mn |
| Jul 31, 2023 | 535.97 Mn |
| Apr 30, 2023 | 546.44 Mn |
| Jan 31, 2023 | 516.93 Mn |
| Oct 31, 2022 | 483.30 Mn |
| Jul 31, 2022 | 486.87 Mn |
| Apr 30, 2022 | 491.64 Mn |
| Jan 31, 2022 | 477.52 Mn |
| Oct 31, 2021 | 472.40 Mn |
| Jul 31, 2021 | 470.13 Mn |
Synopsys Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SNPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();