Maxlinear (MXL) Restructuring Costs (2015 - 2026)
Maxlinear (MXL) posted Restructuring Costs of $254,000 for Q3 2026, down 97.7% from $11.26 million a year earlier but up 296.9% from the prior quarter.
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Analysis
Maxlinear (MXL) Restructuring Costs (2015 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Restructuring Costs at Maxlinear was $594,000, down 97.9% year-over-year; for FY2025, it was $24.53 million, down 54.1% from FY2024.
- Annual Restructuring Costs shows a five-year compound annual growth rate of 44.9% (FY2020 to FY2025).
- In prior years, Maxlinear's Restructuring Costs was $53.38 million in FY2024 (+169.8%), $19.79 million in FY2023 (+773.6%), $2.27 million in FY2022 (+2.8%) and $2.2 million in FY2021 (-42.5%).
- Quarterly Restructuring Costs has run from a low of -$198,000 in Q4 2025 to a high of $26.83 million in Q3 2024 over five years.
- On a year-over-year basis, Restructuring Costs has declined in each of the last three quarters, with growth averaging 8.6% over the last seven quarters.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q2 2023, with growth of 860.2%; the weakest was Q2 2026, with a decline of 98.9%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $64,000 (Q2 2026), $474,000 (Q1 2026) and -$198,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 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 |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 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 |
| 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 |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 254,000.00 |
| Jun 30, 2026 | 64,000.00 |
| Mar 31, 2026 | 474,000.00 |
| Dec 31, 2025 | -198,000.00 |
| Sep 30, 2025 | 11.26 Mn |
| Jun 30, 2025 | 5.58 Mn |
| Mar 31, 2025 | 7.88 Mn |
| Dec 31, 2024 | 3.06 Mn |
| Sep 30, 2024 | 26.83 Mn |
| Jun 30, 2024 | 865,000.00 |
| Mar 31, 2024 | 22.63 Mn |
| Dec 31, 2023 | 10.65 Mn |
| Sep 30, 2023 | 54,000.00 |
| Jun 30, 2023 | 4.44 Mn |
| Mar 31, 2023 | 4.65 Mn |
| Dec 31, 2022 | 1.17 Mn |
| Sep 30, 2022 | 631,000.00 |
| Jun 30, 2022 | 462,000.00 |
| Jun 30, 2021 | 38,000.00 |
| Mar 31, 2021 | 2.17 Mn |
API Access
Maxlinear Restructuring Costs 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=restructuring-costs&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();