Synaptics (SYNA) Property, Plant & Equipment (Net) (2010 - 2026)
Synaptics' Property, Plant & Equipment (Net) was $86.9 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 20.5% from $72.1 million a year earlier and up 5.3% from the prior quarter.
Synaptics (SYNA) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Synaptics has reported Property, Plant & Equipment (Net) for 62 quarters.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -1.0% (FY2021 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $72.1 million in FY2025 (-4.5%), $75.5 million in FY2024 (+13.7%), $66.4 million in FY2023 (+5.6%) and $62.9 million in FY2022 (-31.0%).
- The fiscal Q4 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since fiscal Q1 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with growth averaging 7.5% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q4 2026 (growth of 20.5%); the worst was fiscal Q3 2022 (a decline of 33.8%).
- Per Business Quant data, SYNA's Property, Plant & Equipment (Net) in the three fiscal quarters before Q4 2026 was $82.5 million (Q3 2026), $83.1 million (Q2 2026) and $77.4 million (Q1 2026).
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 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 86.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 86.90 Mn |
| Mar 28, 2026 | 82.50 Mn |
| Dec 27, 2025 | 83.10 Mn |
| Sep 27, 2025 | 77.40 Mn |
| Jun 28, 2025 | 72.10 Mn |
| Mar 29, 2025 | 71.00 Mn |
| Dec 28, 2024 | 75.30 Mn |
| Sep 28, 2024 | 79.50 Mn |
| Jun 29, 2024 | 75.50 Mn |
| Mar 30, 2024 | 74.00 Mn |
| Dec 30, 2023 | 71.00 Mn |
| Sep 30, 2023 | 67.40 Mn |
| Jun 24, 2023 | 66.40 Mn |
| Mar 25, 2023 | 69.00 Mn |
| Dec 24, 2022 | 65.90 Mn |
| Sep 24, 2022 | 63.40 Mn |
| Jun 25, 2022 | 62.90 Mn |
| Mar 26, 2022 | 63.10 Mn |
| Dec 25, 2021 | 56.90 Mn |
| Sep 25, 2021 | 92.10 Mn |
Synaptics 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=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SYNA", "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=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();