Maxlinear (MXL) Finished Goods (2011 - 2026)
Maxlinear's Finished Goods was $26.48 million in Q2 2026, down 17.1% from $31.92 million a year earlier but up 1.3% from the prior quarter.
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Analysis
Maxlinear (MXL) Finished Goods (2011 - 2026) Analysis & Trends
At the end of FY2025, Finished Goods at Maxlinear came in at $30.51 million, down 16.1% from FY2024.
- Finished Goods has now declined for three consecutive years, with a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- In earlier years, Finished Goods was $36.36 million in FY2024 (-8.0%), $39.54 million in FY2023 (-36.9%), $62.7 million in FY2022 (+5.7%) and $59.33 million in FY2021 (-4.3%).
- Quarterly Finished Goods has moved between $26.13 million (Q1 2026) and $64.85 million (Q1 2022) over five years.
- Compared with a year earlier, Finished Goods has declined for 14 straight quarters, with an average decline of 17.0% over the last eight quarters.
- The best year-over-year quarter for Finished Goods over five years was Q1 2022 (growth of 43.3%); the worst was Q1 2024 (a decline of 38.5%).
- Per Business Quant data, MXL's Finished Goods in the three quarters before Q2 2026 was $26.13 million (Q1 2026), $30.51 million (Q4 2025) and $28.73 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 | 26.48 Mn |
| Mar 31, 2026 | 26.13 Mn |
| Dec 31, 2025 | 30.51 Mn |
| Sep 30, 2025 | 28.73 Mn |
| Jun 30, 2025 | 31.92 Mn |
| Mar 31, 2025 | 32.40 Mn |
| Dec 31, 2024 | 36.36 Mn |
| Sep 30, 2024 | 41.15 Mn |
| Jun 30, 2024 | 36.28 Mn |
| Mar 31, 2024 | 37.45 Mn |
| Dec 31, 2023 | 39.54 Mn |
| Sep 30, 2023 | 51.12 Mn |
| Jun 30, 2023 | 51.07 Mn |
| Mar 31, 2023 | 60.93 Mn |
| Dec 31, 2022 | 62.70 Mn |
| Sep 30, 2022 | 64.33 Mn |
| Jun 30, 2022 | 59.68 Mn |
| Mar 31, 2022 | 64.85 Mn |
| Dec 31, 2021 | 59.33 Mn |
| Sep 30, 2021 | 63.91 Mn |
API Access
Maxlinear Finished Goods 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=finished-goods&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();