Silicon Laboratories (SLAB) Operating Expenses (2009 - 2026)
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Analysis
Silicon Laboratories (SLAB) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 3.63 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 3.64 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 8.41 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.50 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 2.77 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 4.38 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 4.57 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 1.59 Bn |
| 10 | Silicon Laboratories | 7.39 Bn | 5.67 Bn | 152.58 Mn | 144.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 144.63 Mn |
| 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 |
| Oct 1, 2022 | 135.36 Mn |
| Jul 2, 2022 | 132.52 Mn |
| Apr 2, 2022 | 122.19 Mn |
| Oct 2, 2021 | 118.78 Mn |
| Jul 3, 2021 | 107.79 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();