Synaptics (SYNA) Amortization - Intangibles (2012 - 2026)
Synaptics (SYNA) posted Amortization - Intangibles of $23.8 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), down 30.0% from $34 million a year earlier and down 8.5% from the prior quarter.
Synaptics (SYNA) Amortization - Intangibles (2012 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Synaptics' Amortization - Intangibles came in at $119 million, up 4.2% from FY2025.
- Annual Amortization - Intangibles has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- In prior fiscal years, Synaptics' Amortization - Intangibles was $114.2 million in FY2025 (+40.0%), $81.6 million in FY2024 (+130.5%), $35.4 million in FY2023 (-8.5%) and $38.7 million in FY2022 (-64.9%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Amortization - Intangibles since fiscal Q4 2024.
- On a year-over-year basis, Amortization - Intangibles increased in six of the last eight quarters, with growth averaging 25.2%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was fiscal Q2 2023, with growth of 250.0%; the weakest was fiscal Q2 2022, with a decline of 70.9%.
- According to Business Quant data, Amortization - Intangibles for the three prior fiscal quarters was $26 million (Q3 2026), $34 million (Q2 2026) and $35.2 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Synaptics | 4.73 Bn | 2.99 Bn | 145.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 23.80 Mn |
| Mar 28, 2026 | 26.00 Mn |
| Dec 27, 2025 | 34.00 Mn |
| Sep 27, 2025 | 35.20 Mn |
| Jun 28, 2025 | 34.00 Mn |
| Mar 29, 2025 | 31.00 Mn |
| Dec 28, 2024 | 24.60 Mn |
| Sep 28, 2024 | 24.60 Mn |
| Jun 29, 2024 | 21.70 Mn |
| Mar 30, 2024 | 18.30 Mn |
| Dec 30, 2023 | 18.30 Mn |
| Sep 30, 2023 | 23.30 Mn |
| Jun 24, 2023 | -62.00 Mn |
| Mar 25, 2023 | 32.20 Mn |
| Dec 24, 2022 | 32.20 Mn |
| Sep 24, 2022 | 33.00 Mn |
| Jun 25, 2022 | -52.80 Mn |
| Mar 26, 2022 | 37.10 Mn |
| Dec 25, 2021 | 9.20 Mn |
| Sep 25, 2021 | 29.20 Mn |
Synaptics Amortization - 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=amortization-intangibles&ticker=SYNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=SYNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();