Synaptics (SYNA) Cash & Equivalents (2009 - 2026)
Synaptics' Cash & Equivalents was $442.5 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 13.0% from $391.5 million a year earlier and up 9.4% from the prior quarter.
Synaptics (SYNA) Cash & Equivalents (2009 - 2026) Analysis & Trends
From fiscal Q1 2010 onward, Synaptics has reported Cash & Equivalents for 65 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of -12.0% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $391.5 million in FY2025 (-55.4%), $876.9 million in FY2024 (-5.2%), $924.7 million in FY2023 (+12.2%) and $824 million in FY2022 (-1.5%).
- Quarterly Cash & Equivalents has moved between $347.3 million (fiscal Q1 2022) and $924.7 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with an average decline of 22.8%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q1 2023 (growth of 149.9%); the worst was fiscal Q3 2025 (a decline of 56.5%).
- Per Business Quant data, SYNA's Cash & Equivalents in the three fiscal quarters before Q4 2026 was $404.4 million (Q3 2026), $437.4 million (Q2 2026) and $459.9 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | 442.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 442.50 Mn |
| Mar 28, 2026 | 404.40 Mn |
| Dec 27, 2025 | 437.40 Mn |
| Sep 27, 2025 | 459.90 Mn |
| Jun 28, 2025 | 391.50 Mn |
| Mar 29, 2025 | 360.40 Mn |
| Dec 28, 2024 | 596.10 Mn |
| Sep 28, 2024 | 853.60 Mn |
| Jun 29, 2024 | 876.90 Mn |
| Mar 30, 2024 | 828.10 Mn |
| Dec 30, 2023 | 846.10 Mn |
| Sep 30, 2023 | 801.30 Mn |
| Jun 24, 2023 | 924.70 Mn |
| Mar 25, 2023 | 898.00 Mn |
| Dec 24, 2022 | 818.80 Mn |
| Sep 24, 2022 | 867.80 Mn |
| Jun 25, 2022 | 824.00 Mn |
| Mar 26, 2022 | 690.30 Mn |
| Dec 25, 2021 | 502.80 Mn |
| Sep 25, 2021 | 347.30 Mn |
Synaptics Cash & Equivalents 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=cash-and-equivalents&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();