Maxlinear (MXL) Total Liabilities (2009 - 2026)
Maxlinear (MXL) posted Total Liabilities of $383.42 million for Q3 2026, up 11.7% from $343.41 million a year earlier and up 13.5% from the prior quarter.
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Analysis
Maxlinear (MXL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear's Total Liabilities came in at $344.5 million, down 1.1% from FY2024.
- Annual Total Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- In prior years, Maxlinear's Total Liabilities was $348.36 million in FY2024 (-11.6%), $393.99 million in FY2023 (-21.8%), $503.64 million in FY2022 (-10.3%) and $561.19 million in FY2021 (-11.1%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities since Q1 2024.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with an average decline of 3.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2026, with growth of 11.7%; the weakest was Q2 2023, with a decline of 32.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $337.73 million (Q2 2026), $317.08 million (Q1 2026) and $344.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 383.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 383.42 Mn |
| Jun 30, 2026 | 337.73 Mn |
| Mar 31, 2026 | 317.08 Mn |
| Dec 31, 2025 | 344.50 Mn |
| Sep 30, 2025 | 343.41 Mn |
| Jun 30, 2025 | 375.41 Mn |
| Mar 31, 2025 | 362.11 Mn |
| Dec 31, 2024 | 348.36 Mn |
| Sep 30, 2024 | 338.43 Mn |
| Jun 30, 2024 | 355.94 Mn |
| Mar 31, 2024 | 392.64 Mn |
| Dec 31, 2023 | 393.99 Mn |
| Sep 30, 2023 | 401.11 Mn |
| Jun 30, 2023 | 415.43 Mn |
| Mar 31, 2023 | 464.37 Mn |
| Dec 31, 2022 | 503.64 Mn |
| Sep 30, 2022 | 566.82 Mn |
| Jun 30, 2022 | 611.10 Mn |
| Mar 31, 2022 | 571.28 Mn |
| Dec 31, 2021 | 561.19 Mn |
API Access
Maxlinear Total Liabilities 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-liabilities&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();