Maxlinear (MXL) Other Accumulated Expenses (2009 - 2026)
Maxlinear (MXL) reported Other Accumulated Expenses of $1.63 million for Q4 2012, up 104.1% from $800,000 a year earlier and up 55.8% from the prior quarter.
Maxlinear (MXL) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Dating back to Q4 2011, Maxlinear's Other Accumulated Expenses record includes 4 quarters.
- By year, Other Accumulated Expenses came in at $800,000 in FY2011.
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.11 Mn |
| Jun 30, 2026 | 38.29 Mn |
| Mar 31, 2026 | 26.52 Mn |
| Dec 31, 2025 | 49.22 Mn |
| Sep 30, 2025 | 41.50 Mn |
| Jun 30, 2025 | 27.10 Mn |
| Mar 31, 2025 | 23.86 Mn |
| Dec 31, 2024 | 20.10 Mn |
| Sep 30, 2024 | 22.30 Mn |
| Jun 30, 2024 | 22.05 Mn |
| Mar 31, 2024 | 28.10 Mn |
| Dec 31, 2023 | 30.43 Mn |
| Sep 30, 2023 | 29.79 Mn |
| Jun 30, 2023 | 25.00 Mn |
| Mar 31, 2023 | 28.84 Mn |
| Dec 31, 2022 | 59.08 Mn |
| Sep 30, 2022 | 49.47 Mn |
| Jun 30, 2022 | 38.88 Mn |
| Mar 31, 2022 | 30.68 Mn |
| Dec 31, 2021 | 56.64 Mn |
Maxlinear Other Accumulated 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-accumulated-expenses&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();