Synaptics (SYNA) Change in Taxes (2009 - 2025)
Synaptics' Change in Taxes was -$900,000 in FY2026 (year ended Jun 27, 2026), compared with -$43.3 million in FY2025.
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Analysis
Synaptics (SYNA) Change in Taxes (2009 - 2025) Analysis & Trends
From FY2009 onward, Synaptics has reported Change in Taxes for 18 fiscal years.
- The FY2026 figure marks the highest annual Change in Taxes since FY2022.
- Per Business Quant data, Change in Taxes in earlier fiscal years was -$43.3 million in FY2025, -$19.1 million in FY2024, -$15.6 million in FY2023 and $48.6 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 | - |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -646.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 137.00 Mn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2025 | -300,000.00 |
| Mar 29, 2025 | 3.20 Mn |
| Jun 29, 2024 | 27.80 Mn |
| Mar 30, 2024 | -30.10 Mn |
| Dec 30, 2023 | -10.20 Mn |
| Sep 30, 2023 | -6.60 Mn |
| Jun 24, 2023 | -17.90 Mn |
| Mar 25, 2023 | 8.90 Mn |
| Dec 24, 2022 | 12.30 Mn |
| Sep 24, 2022 | -18.90 Mn |
| Jun 25, 2022 | 33.90 Mn |
| Mar 26, 2022 | 21.30 Mn |
| Dec 25, 2021 | 300,000.00 |
| Sep 25, 2021 | -6.90 Mn |
| Jun 26, 2021 | 9.70 Mn |
| Mar 27, 2021 | 3.50 Mn |
| Dec 26, 2020 | 900,000.00 |
| Sep 26, 2020 | -16.20 Mn |
| Jun 27, 2020 | 19.10 Mn |
| Mar 28, 2020 | -4.80 Mn |
API Access
Synaptics Change in Taxes 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=change-in-taxes&ticker=SYNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();