Silicon Laboratories (SLAB) Amortizatization of Intangibles (2009 - 2026)
Silicon Laboratories' Amortizatization of Intangibles came in at $2.29 million for Q2 2027, down 31.4% from $3.34 million a year earlier and unchanged from the prior quarter.
Silicon Laboratories (SLAB) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Silicon Laboratories reported Amortizatization of Intangibles of $9.18 million, down 53.3% year-over-year; for FY2026, it came in at $13.37 million.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of -21.4% (FY2021 to FY2026).
- Going back by year, Amortizatization of Intangibles was $23.03 million in FY2024 (-9.2%), $25.37 million in FY2023 (-25.5%) and $34.07 million in FY2022 (-23.4%).
- The five-year range for quarterly Amortizatization of Intangibles is $2.29 million (Q3 2026) to $5.44 million (Q1 2026).
- Business Quant data shows SLAB's Amortizatization of Intangibles at $2.3 million (Q1 2027), $2.3 million (Q4 2026) and $2.29 million (Q3 2026) in the three quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | 2.04 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 | 544.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 235.00 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 | - |
| 10 | Silicon Laboratories | 7.43 Bn | 5.71 Bn | 140.67 Mn | 2.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 2.29 Mn |
| Apr 4, 2026 | 2.30 Mn |
| Jan 3, 2026 | 2.30 Mn |
| Oct 4, 2025 | 2.29 Mn |
| Jul 5, 2025 | 3.34 Mn |
| Apr 5, 2025 | 5.44 Mn |
| Dec 28, 2024 | 5.44 Mn |
| Sep 28, 2024 | 5.44 Mn |
| Jun 29, 2024 | 6.08 Mn |
| Mar 30, 2024 | 6.08 Mn |
| Dec 30, 2023 | 6.21 Mn |
| Sep 30, 2023 | 6.26 Mn |
| Jul 1, 2023 | 6.39 Mn |
| Apr 1, 2023 | 6.51 Mn |
| Dec 31, 2022 | 6.74 Mn |
| Oct 1, 2022 | 8.13 Mn |
| Jul 2, 2022 | 8.84 Mn |
| Apr 2, 2022 | 10.35 Mn |
| Jan 1, 2022 | 13.39 Mn |
| Apr 3, 2021 | 11.45 Mn |
Silicon Laboratories Amortizatization of 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=amortizatization-of-intangibles&ticker=SLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "SLAB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();