Maxlinear (MXL) Total Liabilities (2010 - 2026)
Maxlinear (MXL) posted Total Liabilities of $337.73 million for Q2 2026, down 10.0% from $375.41 million a year earlier but up 6.5% from the prior quarter.
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Analysis
Maxlinear (MXL) Total Liabilities (2010 - 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%).
- Quarterly Total Liabilities has run from a low of $317.08 million in Q1 2026 to a high of $611.1 million in Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last three quarters, with an average decline of 6.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 5.5%; the weakest was Q2 2023, with a decline of 32.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $317.08 million (Q1 2026), $344.5 million (Q4 2025) and $343.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 337.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 596.35 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();