Silicon Laboratories (SLAB) Other Operating Expenses (2012)
Silicon Laboratories' Other Operating Expenses came in at -$5.14 million for Q3 2027, compared with $705,000 a year earlier.
Silicon Laboratories (SLAB) Other Operating Expenses (2012) Analysis & Trends
Over the trailing twelve months to Oct 3, 2026, Silicon Laboratories reported Other Operating Expenses of $17.85 million, down 3.5% year-over-year; for FY2026, it was $25.47 million.
- Going back by year, Other Operating Expenses was $60.03 million in FY2024 (+273.5%), $16.07 million in FY2023 and -$49.22 million in FY2022.
- The Q3 2027 figure represents the lowest quarterly Other Operating Expenses since Q2 2022.
- Business Quant data shows SLAB's Other Operating Expenses at $7.5 million (Q2 2027), $2.09 million (Q1 2027) and $13.39 million (Q4 2026) in the three quarters before Q3 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 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 |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 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 |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Silicon Laboratories | 7.39 Bn | 5.67 Bn | 152.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2012 | -2.20 Mn |
| Sep 29, 2012 | -1.32 Mn |
| Jun 30, 2012 | -447,000.00 |
| Mar 31, 2012 | -433,000.00 |
Silicon Laboratories Other 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=other-operating-expenses&ticker=SLAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=SLAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();