Maxlinear (MXL) Restructuring Costs (2015 - 2026)
Maxlinear (MXL) posted Restructuring Costs of $64,000 for Q2 2026, down 98.9% from $5.58 million a year earlier and down 86.5% from the prior quarter.
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Analysis
Maxlinear (MXL) Restructuring Costs (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at Maxlinear was $11.6 million, down 73.2% 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 increased in 1 of the last six quarters, with growth averaging 26.3%.
- 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 $474,000 (Q1 2026), -$198,000 (Q4 2025) and $11.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2020 | 3.28 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();