Maxlinear (MXL) Inventory (2010 - 2026)
Maxlinear (MXL) reported Inventory of $105.49 million for Q2 2026, up 22.6% from $86.03 million a year earlier and up 22.9% from the prior quarter.
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Analysis
Maxlinear (MXL) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Maxlinear posted Inventory of $78.1 million, down 13.5% from FY2024.
- Inventory has declined for three consecutive years, with a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- By year, Inventory came in at $90.34 million in FY2024 (-9.6%), $99.91 million in FY2023 (-37.8%), $160.54 million in FY2022 (+21.9%) and $131.7 million in FY2021 (+34.6%).
- The Q2 2026 figure ranks as the highest quarterly Inventory since Q3 2023.
- Year over year, Inventory gained in 1 of the last eight quarters, with an average decline of 5.9%.
- The high point for year-over-year Inventory in five years was Q1 2022 (growth of 50.9%); the low point was Q4 2023 (a decline of 37.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $85.84 million (Q1 2026), $78.1 million (Q4 2025) and $86.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Maxlinear | 9.61 Bn | 9.30 Bn | 97.66 Mn | 105.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.49 Mn |
| Mar 31, 2026 | 85.84 Mn |
| Dec 31, 2025 | 78.10 Mn |
| Sep 30, 2025 | 86.33 Mn |
| Jun 30, 2025 | 86.03 Mn |
| Mar 31, 2025 | 86.01 Mn |
| Dec 31, 2024 | 90.34 Mn |
| Sep 30, 2024 | 96.06 Mn |
| Jun 30, 2024 | 94.74 Mn |
| Mar 31, 2024 | 96.13 Mn |
| Dec 31, 2023 | 99.91 Mn |
| Sep 30, 2023 | 114.94 Mn |
| Jun 30, 2023 | 126.15 Mn |
| Mar 31, 2023 | 149.59 Mn |
| Dec 31, 2022 | 160.54 Mn |
| Sep 30, 2022 | 165.97 Mn |
| Jun 30, 2022 | 146.43 Mn |
| Mar 31, 2022 | 139.04 Mn |
| Dec 31, 2021 | 131.70 Mn |
| Sep 30, 2021 | 127.35 Mn |
API Access
Maxlinear Inventory 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=inventory&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();