Maxlinear (MXL) Total Debt (2017 - 2026)
Maxlinear (MXL) reported Total Debt of $164.06 million for Q3 2026, up 32.9% from $123.46 million a year earlier and up 32.4% from the prior quarter.
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Analysis
Maxlinear (MXL) Total Debt (2017 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear posted Total Debt of $123.62 million, up 0.5% from FY2024.
- Total Debt has increased for three consecutive years, though with a five-year compound annual growth rate of -19.4% (FY2020 to FY2025).
- By year, Total Debt came in at $123 million in FY2024 (+0.5%), $122.38 million in FY2023 (+0.5%), $121.76 million in FY2022 (-60.2%) and $306.15 million in FY2021 (-15.8%).
- The Q3 2026 figure ranks as the highest quarterly Total Debt since Q3 2022.
- Year over year, Total Debt has now increased in each of the last 12 quarters, with growth averaging 4.6% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was Q3 2026 (growth of 32.9%); the low point was Q4 2022 (a decline of 60.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $123.93 million (Q2 2026), $123.77 million (Q1 2026) and $123.62 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (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 | 8.20 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 33.37 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 59.42 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 5.18 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 7.08 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 5.16 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 50.13 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 164.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 164.06 Mn |
| Jun 30, 2026 | 123.93 Mn |
| Mar 31, 2026 | 123.77 Mn |
| Dec 31, 2025 | 123.62 Mn |
| Sep 30, 2025 | 123.46 Mn |
| Jun 30, 2025 | 123.31 Mn |
| Mar 31, 2025 | 123.15 Mn |
| Dec 31, 2024 | 123.00 Mn |
| Sep 30, 2024 | 122.84 Mn |
| Jun 30, 2024 | 122.68 Mn |
| Mar 31, 2024 | 122.53 Mn |
| Dec 31, 2023 | 122.38 Mn |
| Sep 30, 2023 | 122.22 Mn |
| Jun 30, 2023 | 122.06 Mn |
| Mar 31, 2023 | 121.91 Mn |
| Dec 31, 2022 | 121.76 Mn |
| Sep 30, 2022 | 171.61 Mn |
| Jun 30, 2022 | 246.45 Mn |
| Mar 31, 2022 | 286.30 Mn |
| Dec 31, 2021 | 306.15 Mn |
API Access
Maxlinear Total Debt 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=total-debt&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();