Maxlinear (MXL) Other Operating Expenses (2015 - 2024)
Maxlinear's Other Operating Expenses came in at -$29.35 million for Q3 2026, compared with -$306,000 a year earlier.
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Analysis
Maxlinear (MXL) Other Operating Expenses (2015 - 2024) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Maxlinear reported Other Operating Expenses of -$55.83 million; for FY2025, it was $6.77 million, down 88.8% from FY2024.
- Going back by year, Other Operating Expenses was $60.68 million in FY2024, -$35.66 million in FY2023, -$171.23 million in FY2022 and -$118.13 million in FY2021.
- The Q3 2026 figure represents the lowest quarterly Other Operating Expenses since Q1 2023.
- Business Quant data shows MXL's Other Operating Expenses at -$15.15 million (Q2 2026), -$5.14 million (Q1 2026) and -$6.19 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
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 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 1.24 Mn |
| Mar 31, 2023 | 2.44 Mn |
| Dec 31, 2022 | 2.81 Mn |
| Mar 31, 2020 | 86,000.00 |
| Sep 30, 2018 | 2.20 Mn |
| Sep 30, 2017 | 2.00 Mn |
| Sep 30, 2016 | 1.30 Mn |
| Dec 31, 2015 | 21.60 Mn |
API Access
Maxlinear 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=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MXL", "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=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();