Maxlinear (MXL) Total Current Liabilities (2009 - 2026)
Maxlinear's Total Current Liabilities came in at $176.42 million for Q3 2026, down 3.9% from $183.55 million a year earlier but up 4.9% from the prior quarter.
Maxlinear (MXL) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear's Total Current Liabilities was $186.02 million, up 2.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $182.28 million in FY2024 (-17.9%), $222.13 million in FY2023 (-34.9%), $341.09 million in FY2022 (+64.5%) and $207.4 million in FY2021 (-11.2%).
- The five-year range for quarterly Total Current Liabilities is $146.66 million (Q1 2026) to $351.32 million (Q3 2022).
- Year-over-year, Total Current Liabilities has declined for three consecutive quarters, with an average decline of 7.2% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2022 (growth of 64.5%), and the weakest in Q4 2023 (a decline of 34.9%).
- Business Quant data shows MXL's Total Current Liabilities at $168.12 million (Q2 2026), $146.66 million (Q1 2026) and $186.02 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 39.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 61.78 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 43.02 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 27.48 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 14.49 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 28.50 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 37.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 11.58 Bn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 176.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 176.42 Mn |
| Jun 30, 2026 | 168.12 Mn |
| Mar 31, 2026 | 146.66 Mn |
| Dec 31, 2025 | 186.02 Mn |
| Sep 30, 2025 | 183.55 Mn |
| Jun 30, 2025 | 213.49 Mn |
| Mar 31, 2025 | 196.89 Mn |
| Dec 31, 2024 | 182.28 Mn |
| Sep 30, 2024 | 168.60 Mn |
| Jun 30, 2024 | 190.28 Mn |
| Mar 31, 2024 | 223.85 Mn |
| Dec 31, 2023 | 222.13 Mn |
| Sep 30, 2023 | 232.91 Mn |
| Jun 30, 2023 | 241.73 Mn |
| Mar 31, 2023 | 300.16 Mn |
| Dec 31, 2022 | 341.09 Mn |
| Sep 30, 2022 | 351.32 Mn |
| Jun 30, 2022 | 316.08 Mn |
| Mar 31, 2022 | 234.80 Mn |
| Dec 31, 2021 | 207.40 Mn |
Maxlinear Total Current 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-current-liabilities&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();