Maxlinear (MXL) Total Debt (2017 - 2026)
Maxlinear (MXL) reported Total Debt of $123.93 million for Q2 2026, up 0.5% from $123.31 million a year earlier and up 0.1% 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 Q2 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 11 quarters, with growth averaging 0.5% over the last eight quarters.
- The high point for year-over-year Total Debt in five years was Q3 2024 (growth of 0.5%); the low point was Q4 2022 (a decline of 60.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $123.77 million (Q1 2026), $123.62 million (Q4 2025) and $123.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 33.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 6.85 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 59.42 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 5.72 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.23 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 5.11 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 50.54 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.73 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.54 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 123.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 326.03 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();