Maxlinear (MXL) Amortization of Intangibles (2015 - 2017)
Maxlinear (MXL) reported Amortization of Intangibles of $9.72 million for Q4 2017, up 266.3% from $2.65 million a year earlier but down 4.8% from the prior quarter.
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Analysis
Maxlinear (MXL) Amortization of Intangibles (2015 - 2017) Analysis & Trends
For FY2017, Maxlinear posted Amortization of Intangibles of $25.56 million, up 353.1% from FY2016.
- By year, Amortization of Intangibles came in at $5.64 million in FY2016 (-60.4%) and $14.24 million in FY2015.
- Five-year quarterly Amortization of Intangibles spans a low of $958,000 in Q3 2015 and a high of $10.21 million in Q3 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | 2.04 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 | 534.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 190.00 Mn |
| 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, 2017 | 9.72 Mn |
| Sep 30, 2017 | 10.21 Mn |
| Dec 31, 2016 | 2.65 Mn |
| Sep 30, 2016 | 2.65 Mn |
| Sep 30, 2015 | 958,000.00 |
API Access
Maxlinear Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();