Silicon Laboratories (SLAB) Operating Expenses (2009 - 2026)
Silicon Laboratories' Operating Expenses came in at $151.34 million for Q2 2027, up 15.5% from $130.98 million a year earlier and up 5.0% from the prior quarter.
Powered by 
Analysis
Silicon Laboratories (SLAB) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Silicon Laboratories reported Operating Expenses of $562.11 million, up 12.5% year-over-year; for FY2026, it was $527.52 million.
- Operating Expenses carries a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- Going back by year, Operating Expenses was $477.68 million in FY2024 (-1.5%), $484.74 million in FY2023 (-7.4%) and $523.3 million in FY2022 (+14.2%).
- The Q2 2027 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Business Quant data shows SLAB's Operating Expenses at $144.08 million (Q1 2027), $135.33 million (Q4 2026) and $131.36 million (Q3 2026) in the three quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 8.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 3.13 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.50 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 1.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 4.21 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.71 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 965.25 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.51 Bn |
| 10 | Silicon Laboratories | 7.43 Bn | 5.71 Bn | 140.67 Mn | 151.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 151.34 Mn |
| Apr 4, 2026 | 144.08 Mn |
| Jan 3, 2026 | 135.33 Mn |
| Oct 4, 2025 | 131.36 Mn |
| Jul 5, 2025 | 130.98 Mn |
| Apr 5, 2025 | 129.86 Mn |
| Dec 28, 2024 | 118.85 Mn |
| Sep 28, 2024 | 120.02 Mn |
| Jun 29, 2024 | 124.60 Mn |
| Mar 30, 2024 | 114.20 Mn |
| Dec 30, 2023 | 117.04 Mn |
| Sep 30, 2023 | 106.81 Mn |
| Jul 1, 2023 | 126.61 Mn |
| Apr 1, 2023 | 134.29 Mn |
| Dec 31, 2022 | 133.22 Mn |
| Oct 1, 2022 | 135.36 Mn |
| Jul 2, 2022 | 132.52 Mn |
| Apr 2, 2022 | 122.19 Mn |
| Jan 1, 2022 | 158.64 Mn |
| Oct 2, 2021 | 118.78 Mn |
API Access
Silicon Laboratories Operating Expenses 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=operating-expenses&ticker=SLAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();