Maxlinear (MXL) Net of Acquisitions & Divestments (2014 - 2023)
Maxlinear's Net of Acquisitions & Divestments was -$940,000 in Q4 2023.
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Analysis
Maxlinear (MXL) Net of Acquisitions & Divestments (2014 - 2023) Analysis & Trends
For FY2023, Net of Acquisitions & Divestments at Maxlinear came in at -$13.32 million.
- In earlier years, Net of Acquisitions & Divestments was -$40 million in FY2021 and -$160 million in FY2020.
- The Q4 2023 figure marks the highest quarterly Net of Acquisitions & Divestments in data going back to Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (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 | -211.00 Mn |
| 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 |
|---|---|
| Dec 31, 2023 | -940,000.00 |
| Jun 30, 2023 | -2.72 Mn |
| Mar 31, 2023 | -9.67 Mn |
| Dec 31, 2021 | -5.00 Mn |
| Sep 30, 2021 | -7.50 Mn |
| Sep 30, 2020 | -160.00 Mn |
| Sep 30, 2016 | -80.00 Mn |
| Dec 31, 2014 | -9.14 Mn |
API Access
Maxlinear Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();