Maxlinear (MXL) Change in Accured Expenses (2010 - 2026)
Maxlinear (MXL) reported Change in Accured Expenses of $40.17 million for Q2 2026, up 96.7% from $20.42 million a year earlier.
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Analysis
Maxlinear (MXL) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Maxlinear's Change in Accured Expenses came in at $26.83 million, down 27.2% year-over-year; for FY2025, it was $34.76 million.
- Change in Accured Expenses has a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at -$4.57 million in FY2024, -$29.43 million in FY2023, $65.82 million in FY2022 (+95.9%) and $33.6 million in FY2021 (-41.2%).
- The Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses since Q3 2020.
- The high point for year-over-year Change in Accured Expenses in five years was Q2 2026 (growth of 96.7%); the low point was Q1 2023 (a decline of 78.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$18.96 million (Q1 2026), $7.87 million (Q4 2025) and -$2.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 252.00 Mn |
| 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 | 372.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 2.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | -652.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 803.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 633.00 Mn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 40.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.17 Mn |
| Mar 31, 2026 | -18.96 Mn |
| Dec 31, 2025 | 7.87 Mn |
| Sep 30, 2025 | -2.25 Mn |
| Jun 30, 2025 | 20.42 Mn |
| Mar 31, 2025 | 8.72 Mn |
| Dec 31, 2024 | 11.47 Mn |
| Sep 30, 2024 | -3.77 Mn |
| Jun 30, 2024 | -21.55 Mn |
| Mar 31, 2024 | 9.28 Mn |
| Dec 31, 2023 | -11.51 Mn |
| Sep 30, 2023 | 9.35 Mn |
| Jun 30, 2023 | -34.47 Mn |
| Mar 31, 2023 | 7.21 Mn |
| Dec 31, 2022 | -16.57 Mn |
| Sep 30, 2022 | 19.77 Mn |
| Jun 30, 2022 | 29.67 Mn |
| Mar 31, 2022 | 32.95 Mn |
| Dec 31, 2021 | -1.46 Mn |
| Sep 30, 2021 | 19.82 Mn |
API Access
Maxlinear Change in Accured 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=change-in-accured-expenses&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();