Maxlinear (MXL) Selling, General & Administrative (2009 - 2026)
Maxlinear's Selling, General & Administrative was $36.95 million in Q3 2026, down 22.5% from $47.67 million a year earlier and down 19.2% from the prior quarter.
Maxlinear (MXL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Maxlinear's Selling, General & Administrative was $167.11 million through Sep 30, 2026, up 7.3% year-over-year; for FY2025, it was $159.58 million, up 15.4% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $138.33 million in FY2024 (+4.7%), $132.16 million in FY2023 (-21.3%), $168.01 million in FY2022 (+12.0%) and $149.94 million in FY2021 (+15.3%).
- The Q3 2026 figure marks the lowest quarterly Selling, General & Administrative since Q2 2025.
- Compared with a year earlier, Selling, General & Administrative was higher in six of the last eight quarters, with growth averaging 13.7%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2025 (growth of 58.1%); the worst was Q3 2023 (a decline of 34.0%).
- Per Business Quant data, MXL's Selling, General & Administrative in the three quarters before Q3 2026 was $45.75 million (Q2 2026), $42.46 million (Q1 2026) and $41.96 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 3.63 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 718.16 Mn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 1.35 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 996.00 Mn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 859.00 Mn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.30 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 1.03 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 218.00 Mn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 36.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.95 Mn |
| Jun 30, 2026 | 45.75 Mn |
| Mar 31, 2026 | 42.46 Mn |
| Dec 31, 2025 | 41.96 Mn |
| Sep 30, 2025 | 47.67 Mn |
| Jun 30, 2025 | 33.36 Mn |
| Mar 31, 2025 | 36.59 Mn |
| Dec 31, 2024 | 38.09 Mn |
| Sep 30, 2024 | 30.15 Mn |
| Jun 30, 2024 | 33.60 Mn |
| Mar 31, 2024 | 36.49 Mn |
| Dec 31, 2023 | 34.38 Mn |
| Sep 30, 2023 | 25.40 Mn |
| Jun 30, 2023 | 33.72 Mn |
| Mar 31, 2023 | 38.65 Mn |
| Dec 31, 2022 | 44.47 Mn |
| Sep 30, 2022 | 38.47 Mn |
| Jun 30, 2022 | 44.49 Mn |
| Mar 31, 2022 | 40.58 Mn |
| Dec 31, 2021 | 39.12 Mn |
Maxlinear Selling, General & Administrative 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=selling-general-and-administrative&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();