Synaptics (SYNA) Capital Expenditures (2009 - 2026)
Synaptics (SYNA) recorded Capital Expenditures of $12.3 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 86.4% from $6.6 million a year earlier and up 3.4% from the prior quarter.
Synaptics (SYNA) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Synaptics reported Capital Expenditures of $48 million, up 86.0% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 17.9% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $25.8 million in FY2025 (-23.7%), $33.8 million in FY2024 (-1.2%), $34.2 million in FY2023 (+10.0%) and $31.1 million in FY2022 (+47.4%).
- The fiscal Q4 2026 figure is the highest quarterly Capital Expenditures since fiscal Q3 2023.
- On a year-over-year basis, Capital Expenditures has increased for four consecutive quarters, with growth averaging 39.3% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 315.2% in fiscal Q3 2022, against a decline of 54.8% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $11.9 million (Q3 2026), $11.6 million (Q2 2026) and $12.2 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.68 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 532.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 12.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 12.30 Mn |
| Mar 28, 2026 | 11.90 Mn |
| Dec 27, 2025 | 11.60 Mn |
| Sep 27, 2025 | 12.20 Mn |
| Jun 28, 2025 | 6.60 Mn |
| Mar 29, 2025 | 5.40 Mn |
| Dec 28, 2024 | 4.70 Mn |
| Sep 28, 2024 | 9.10 Mn |
| Jun 29, 2024 | 7.70 Mn |
| Mar 30, 2024 | 9.00 Mn |
| Dec 30, 2023 | 10.40 Mn |
| Sep 30, 2023 | 6.70 Mn |
| Jun 24, 2023 | 5.20 Mn |
| Mar 25, 2023 | 13.70 Mn |
| Dec 24, 2022 | 9.10 Mn |
| Sep 24, 2022 | 6.20 Mn |
| Jun 25, 2022 | 4.20 Mn |
| Mar 26, 2022 | 13.70 Mn |
| Dec 25, 2021 | 8.50 Mn |
| Sep 25, 2021 | 4.70 Mn |
Synaptics Capital Expenditures 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=capital-expenditures&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();