Maxlinear (MXL) Price to FCF (2012 - 2026)
Maxlinear's Price to FCF was 3510.07 in Q2 2026.
Analysis
Maxlinear (MXL) Price to FCF (2012 - 2026) Analysis & Trends
For FY2025, Price to FCF at Maxlinear came in at 214.62.
- In earlier years, Price to FCF was 65.00 in FY2023 (+744.9%), 7.69 in FY2022 (-82.8%) and 44.85 in FY2021 (-3.7%).
- The Q2 2026 figure marks the highest quarterly Price to FCF in data going back to Q3 2012.
- The best year-over-year quarter for Price to FCF over five years was Q4 2023 (growth of 744.9%); the worst was Q3 2021 (a decline of 84.1%).
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 | 3,510.07 |
| Mar 31, 2026 | 153.33 |
| Dec 31, 2025 | 214.62 |
| Mar 31, 2024 | 2,571.91 |
| Dec 31, 2023 | 65.00 |
| Sep 30, 2023 | 18.06 |
| Jun 30, 2023 | 15.22 |
| Mar 31, 2023 | 11.04 |
| Dec 31, 2022 | 7.69 |
| Sep 30, 2022 | 8.58 |
| Jun 30, 2022 | 8.31 |
| Mar 31, 2022 | 20.13 |
| Dec 31, 2021 | 44.85 |
| Sep 30, 2021 | 19.17 |
| Jun 30, 2021 | 32.19 |
| Mar 31, 2021 | 28.67 |
| Dec 31, 2020 | 46.58 |
| Sep 30, 2020 | 120.43 |
| Jun 30, 2020 | 27.71 |
| Mar 31, 2020 | 13.36 |
API Access
Maxlinear Price to FCF 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=price-to-fcf&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();