Maxlinear (MXL) Finished Goods (2011 - 2026)
Maxlinear's Finished Goods was $34.71 million in Q3 2026, up 20.8% from $28.73 million a year earlier and up 31.1% 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%).
- The Q3 2026 figure marks the highest quarterly Finished Goods since Q4 2024.
- Compared with a year earlier, Finished Goods was higher in 1 of the last eight quarters, with an average decline of 11.9%.
- 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 Q3 2026 was $26.48 million (Q2 2026), $26.13 million (Q1 2026) and $30.51 million (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 | 34.71 Mn |
| 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 |
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();