Maxlinear (MXL) Other Operating Expenses (2015 - 2024)
Maxlinear's Other Operating Expenses was $1.24 million in FY2024, down 49.3% from $2.44 million in FY2023.
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Analysis
Maxlinear (MXL) Other Operating Expenses (2015 - 2024) Analysis & Trends
From FY2015 onward, Maxlinear has reported Other Operating Expenses for 8 years.
- Other Operating Expenses shows a four-year compound annual growth rate of 94.7% (FY2020 to FY2024).
- The FY2024 figure marks the lowest annual Other Operating Expenses since FY2020.
- Per Business Quant data, Other Operating Expenses in earlier years was $2.44 million in FY2023 (-13.3%), $2.81 million in FY2022 and $86,000 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 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 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 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();