Maxlinear (MXL) Long-Term Debt Repayments (2009 - 2022)
Maxlinear's Long-Term Debt Repayments came in at $50 million for Q4 2022, up 150.0% from $20 million a year earlier but down 33.3% from the prior quarter.
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Analysis
Maxlinear (MXL) Long-Term Debt Repayments (2009 - 2022) Analysis & Trends
For FY2022, Maxlinear's Long-Term Debt Repayments was $185 million, down 54.9% from FY2021.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 21.5% (FY2017 to FY2022).
- Going back by year, Long-Term Debt Repayments was $409.81 million in FY2021, $17.19 million in FY2020 (-65.6%), $50 million in FY2019 (-46.2%) and $93 million in FY2018 (+32.9%).
- The five-year range for quarterly Long-Term Debt Repayments is $15 million (Q4 2018) to $349.81 million (Q2 2021).
- Year-over-year, Long-Term Debt Repayments increased in three of the last five quarters, with growth averaging 70.6%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2022 (growth of 275.0%), and the weakest in Q2 2022 (a decline of 88.6%).
- Business Quant data shows MXL's Long-Term Debt Repayments at $75 million (Q3 2022), $40 million (Q2 2022) and $20 million (Q1 2022) in the three quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -3.20 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | -8.18 Mn |
| 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 | -10.53 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 663.00 Mn |
| 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 | 119.00 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, 2022 | 50.00 Mn |
| Sep 30, 2022 | 75.00 Mn |
| Jun 30, 2022 | 40.00 Mn |
| Mar 31, 2022 | 20.00 Mn |
| Dec 31, 2021 | 20.00 Mn |
| Sep 30, 2021 | 20.00 Mn |
| Jun 30, 2021 | 349.81 Mn |
| Mar 31, 2021 | 20.00 Mn |
| Dec 31, 2020 | 17.19 Mn |
| Sep 30, 2019 | 20.00 Mn |
| Jun 30, 2019 | 15.00 Mn |
| Mar 31, 2019 | 15.00 Mn |
| Dec 31, 2018 | 15.00 Mn |
| Sep 30, 2018 | 35.00 Mn |
| Jun 30, 2018 | 18.00 Mn |
| Mar 31, 2018 | 25.00 Mn |
| Dec 31, 2017 | 20.00 Mn |
| Sep 30, 2017 | 50.00 Mn |
| Jun 30, 2013 | 1,000.00 |
| Mar 31, 2013 | 1,000.00 |
API Access
Maxlinear Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();