Maxlinear (MXL) Shares Outstanding (Diluted) (2009 - 2026)
Maxlinear (MXL) recorded Weighted Average Shares Outstanding (Diluted) of 97.71 million in Q3 2026, up 12.1% from 87.19 million a year earlier and up 0.4% from the prior quarter.
Maxlinear (MXL) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Maxlinear reported Weighted Average Shares Outstanding (Diluted) of 86.59 million, up 3.6% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 83.6 million in FY2024 (+3.6%), 80.72 million in FY2023 (-0.2%), 80.85 million in FY2022 (+1.5%) and 79.68 million in FY2021 (+9.0%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 11 consecutive quarters, with growth averaging 5.7% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 12.4% in Q2 2026, against a decline of 0.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 97.33 million (Q2 2026), 87.6 million (Q1 2026) and 86.59 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 188.19 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 25.93 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 24.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.89 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.14 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 1.66 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 388.90 Mn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 5.31 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 800.00 Mn |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | 97.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 97.71 Mn |
| Jun 30, 2026 | 97.33 Mn |
| Mar 31, 2026 | 87.60 Mn |
| Dec 31, 2025 | 86.59 Mn |
| Sep 30, 2025 | 87.19 Mn |
| Jun 30, 2025 | 86.63 Mn |
| Mar 31, 2025 | 85.27 Mn |
| Dec 31, 2024 | 83.60 Mn |
| Sep 30, 2024 | 84.07 Mn |
| Jun 30, 2024 | 83.48 Mn |
| Mar 31, 2024 | 82.35 Mn |
| Dec 31, 2023 | 80.72 Mn |
| Sep 30, 2023 | 81.25 Mn |
| Jun 30, 2023 | 80.45 Mn |
| Mar 31, 2023 | 81.34 Mn |
| Dec 31, 2022 | 80.85 Mn |
| Sep 30, 2022 | 80.06 Mn |
| Jun 30, 2022 | 80.28 Mn |
| Mar 31, 2022 | 80.64 Mn |
| Dec 31, 2021 | 79.68 Mn |
Maxlinear Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();