Maxlinear (MXL) Cash from Operations (2010 - 2026)
Maxlinear (MXL) recorded Cash from Operations of $4.81 million in Q2 2026, down 54.2% from $10.49 million a year earlier.
Maxlinear (MXL) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Maxlinear's Cash from Operations came in at $16.47 million as of Jun 30, 2026; for FY2025, it was $19.62 million.
- Annual Cash from Operations has a five-year compound annual growth rate of -23.2% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at -$45.3 million in FY2024, $43.37 million in FY2023 (-88.8%), $388.73 million in FY2022 (+131.1%) and $168.23 million in FY2021 (+128.6%).
- Quarterly Cash from Operations has ranged from -$30.73 million in Q3 2024 to $134.17 million in Q1 2022 over the past five years.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 343.2% in Q2 2022, against a decline of 78.4% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at -$8.87 million (Q1 2026), $10.41 million (Q4 2025) and $10.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 14.20 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 2.37 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 7.01 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.46 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.04 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 4.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.81 Mn |
| Mar 31, 2026 | -8.87 Mn |
| Dec 31, 2025 | 10.41 Mn |
| Sep 30, 2025 | 10.12 Mn |
| Jun 30, 2025 | 10.49 Mn |
| Mar 31, 2025 | -11.40 Mn |
| Dec 31, 2024 | -27.84 Mn |
| Sep 30, 2024 | -30.73 Mn |
| Jun 30, 2024 | -2.70 Mn |
| Mar 31, 2024 | 15.97 Mn |
| Dec 31, 2023 | -16.57 Mn |
| Sep 30, 2023 | -12.79 Mn |
| Jun 30, 2023 | 30.58 Mn |
| Mar 31, 2023 | 42.16 Mn |
| Dec 31, 2022 | 69.36 Mn |
| Sep 30, 2022 | 61.77 Mn |
| Jun 30, 2022 | 123.44 Mn |
| Mar 31, 2022 | 134.17 Mn |
| Dec 31, 2021 | 16.03 Mn |
| Sep 30, 2021 | 84.08 Mn |
Maxlinear Cash from Operations 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=cash-from-operations&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();