Synaptics (SYNA) Property, Plant & Equipment (Net) (2009 - 2026)
Synaptics' Property, Plant & Equipment (Net) was $87 million in fiscal Q1 2027 (quarter ended Sep 26, 2026), up 12.4% from $77.4 million a year earlier and up 0.1% from the prior quarter.
Synaptics (SYNA) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 27, 2026), Property, Plant & Equipment (Net) at Synaptics came in at $86.9 million, up 20.5% from FY2025.
- 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, $71 million in FY2023 (+7.7%) and $65.9 million in FY2022.
- The fiscal Q1 2027 figure marks the highest quarterly Property, Plant & Equipment (Net) since fiscal Q4 2021.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for four straight quarters, with growth averaging 8.7% over the last six 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 Q4 2022 (a decline of 31.0%).
- Per Business Quant data, SYNA's Property, Plant & Equipment (Net) in the three fiscal quarters before Q1 2027 was $86.9 million (Q4 2026), $82.5 million (Q3 2026) and $83.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 57.66 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 142.12 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 14.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 3.14 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 63.31 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 3.93 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 9.27 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 105.31 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 5.85 Bn |
| 10 | Synaptics | 4.69 Bn | 3.04 Bn | 140.40 Mn | 87.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 87.00 Mn |
| 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 |
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();