Maxlinear (MXL) Non Operating Interest Expenses (2009 - 2026)
Maxlinear (MXL) recorded Non Operating Interest Expenses of $2.69 million in Q3 2026, up 1.6% from $2.65 million a year earlier and up 18.6% from the prior quarter.
Maxlinear (MXL) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Maxlinear's Non Operating Interest Expenses came in at $9.55 million as of Sep 30, 2026, down 8.8% year-over-year; for FY2025, it came in at $10.06 million, down 7.5% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $10.87 million in FY2024 (+1.6%), $10.7 million in FY2023 (+9.6%), $9.77 million in FY2022 (-24.8%) and $13 million in FY2021 (+0.3%).
- The Q3 2026 figure is the highest quarterly Non Operating Interest Expenses since Q4 2024.
- On a year-over-year basis, Non Operating Interest Expenses rose in 1 of the last eight quarters, with an average decline of 6.7%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 26.9% in Q4 2023, against a decline of 49.2% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.27 million (Q2 2026), $2.2 million (Q1 2026) and $2.39 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 2.43 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | -98.82 Mn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 778.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 62.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | - |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 68.00 Mn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 2.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.69 Mn |
| Jun 30, 2026 | 2.27 Mn |
| Mar 31, 2026 | 2.20 Mn |
| Dec 31, 2025 | 2.39 Mn |
| Sep 30, 2025 | 2.65 Mn |
| Jun 30, 2025 | 2.51 Mn |
| Mar 31, 2025 | 2.50 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 2.66 Mn |
| Jun 30, 2024 | 2.71 Mn |
| Mar 31, 2024 | 2.71 Mn |
| Dec 31, 2023 | 2.91 Mn |
| Sep 30, 2023 | 2.72 Mn |
| Jun 30, 2023 | 2.59 Mn |
| Mar 31, 2023 | 2.49 Mn |
| Dec 31, 2022 | 2.29 Mn |
| Sep 30, 2022 | 2.71 Mn |
| Jun 30, 2022 | 2.42 Mn |
| Mar 31, 2022 | 2.35 Mn |
| Dec 31, 2021 | 2.40 Mn |
Maxlinear Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();