Synaptics (SYNA) Intangibles (2012 - 2026)
Synaptics (SYNA) posted Intangibles of $191.4 million for fiscal Q1 2027 (quarter ended Sep 26, 2026), down 29.0% from $269.5 million a year earlier but up 1.9% from the prior quarter.
Synaptics (SYNA) Intangibles (2012 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 27, 2026), Synaptics' Intangibles came in at $187.8 million, down 28.4% from FY2025.
- Annual Intangibles shows a five-year compound annual growth rate of -9.0% (FY2021 to FY2026).
- In prior fiscal years, Synaptics' Intangibles was $262.2 million in FY2025 (-9.1%), $288.4 million in FY2024, $270.4 million in FY2023 (-19.0%) and $333.7 million in FY2022.
- Quarterly Intangibles has run from a low of $187.8 million in fiscal Q4 2026 to a high of $390 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Intangibles has declined in each of the last four quarters, with an average decline of 16.0% over the last six quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q4 2022, with growth of 29.4%; the weakest was fiscal Q3 2026, with a decline of 29.3%.
- According to Business Quant data, Intangibles for the three prior fiscal quarters was $187.8 million (Q4 2026), $209.6 million (Q3 2026) and $235.5 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 2.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | - |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 3.00 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.33 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 15.10 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 634.47 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 2.44 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 339.00 Mn |
| 10 | Synaptics | 4.69 Bn | 3.04 Bn | 140.40 Mn | 191.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 191.40 Mn |
| Jun 27, 2026 | 187.80 Mn |
| Mar 28, 2026 | 209.60 Mn |
| Dec 27, 2025 | 235.50 Mn |
| Sep 27, 2025 | 269.50 Mn |
| Jun 28, 2025 | 262.20 Mn |
| Mar 29, 2025 | 296.30 Mn |
| Dec 28, 2024 | 242.00 Mn |
| Sep 28, 2024 | 263.80 Mn |
| Jun 29, 2024 | 288.40 Mn |
| Mar 30, 2024 | 252.20 Mn |
| Dec 30, 2023 | 270.40 Mn |
| Sep 30, 2023 | 288.70 Mn |
| Jun 24, 2023 | 298.50 Mn |
| Mar 25, 2023 | 331.40 Mn |
| Dec 24, 2022 | 333.70 Mn |
| Sep 24, 2022 | 357.00 Mn |
| Jun 25, 2022 | 390.00 Mn |
| Mar 26, 2022 | 409.50 Mn |
| Dec 25, 2021 | 447.60 Mn |
Synaptics Intangibles 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=intangibles&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();