Maxlinear (MXL) Ending Cash Balance (2009 - 2026)
Maxlinear (MXL) recorded Ending Cash Balance of $109.86 million in Q3 2026, down 3.0% from $113.26 million a year earlier but up 17.2% from the prior quarter.
Maxlinear (MXL) Ending Cash Balance (2009 - 2026) Analysis & Trends
For FY2025, Maxlinear reported Ending Cash Balance of $101.41 million, down 15.2% from FY2024.
- Annual Ending Cash Balance has a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- Across earlier years, Ending Cash Balance came in at $119.6 million in FY2024 (-36.5%), $188.36 million in FY2023 (unchanged), $188.36 million in FY2022 (+43.0%) and $131.74 million in FY2021 (-12.2%).
- Quarterly Ending Cash Balance has ranged from $89.93 million in Q1 2026 to $225.64 million in Q2 2023 over the past five years.
- On a year-over-year basis, Ending Cash Balance has declined for 11 consecutive quarters, with an average decline of 24.3% over the last eight quarters.
- Peak year-over-year performance for Ending Cash Balance in the last five years was growth of 61.6% in Q2 2022, against a decline of 46.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $93.73 million (Q2 2026), $89.93 million (Q1 2026) and $101.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Ending Cash Balance (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 17.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | - |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 22.44 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 23.98 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 38.39 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 7.40 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 15.17 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 22.40 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 109.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.86 Mn |
| Jun 30, 2026 | 93.73 Mn |
| Mar 31, 2026 | 89.93 Mn |
| Dec 31, 2025 | 101.41 Mn |
| Sep 30, 2025 | 113.26 Mn |
| Jun 30, 2025 | 110.25 Mn |
| Mar 31, 2025 | 104.07 Mn |
| Dec 31, 2024 | 119.60 Mn |
| Sep 30, 2024 | 149.49 Mn |
| Jun 30, 2024 | 186.14 Mn |
| Mar 31, 2024 | 192.93 Mn |
| Dec 31, 2023 | 188.36 Mn |
| Sep 30, 2023 | 188.15 Mn |
| Jun 30, 2023 | 225.64 Mn |
| Mar 31, 2023 | 208.84 Mn |
| Dec 31, 2022 | 188.36 Mn |
| Sep 30, 2022 | 182.49 Mn |
| Jun 30, 2022 | 212.42 Mn |
| Mar 31, 2022 | 152.25 Mn |
| Dec 31, 2021 | 131.74 Mn |
Maxlinear Ending Cash Balance 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=ending-cash-balance&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ending-cash-balance", "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=ending-cash-balance&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();