Maxlinear (MXL) EV to CFO (2011 - 2026)
Maxlinear's (MXL) EV to CFO stood at 701.19 in Q2 2026, up 938.2% from the prior quarter.
Powered by 
Analysis
Maxlinear (MXL) EV to CFO (2011 - 2026) Analysis & Trends
On a TTM basis, Maxlinear's EV to CFO came in at 686.27 as of Jun 30, 2026; for FY2025, it was 73.09.
- Across earlier years, EV to CFO came in at 40.52 in FY2023 (+538.4%), 6.35 in FY2022 (-81.1%) and 33.63 in FY2021 (-8.3%).
- The Q2 2026 figure is the highest quarterly EV to CFO in data going back to Q2 2011.
- Peak year-over-year performance for EV to CFO in the last five years was growth of 806.2% in Q1 2024, against a decline of 81.1% in Q4 2022 at the low end.
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 | 701.19 |
| Mar 31, 2026 | 67.54 |
| Dec 31, 2025 | 73.09 |
| Mar 31, 2024 | 79.09 |
| Dec 31, 2023 | 40.52 |
| Sep 30, 2023 | 12.48 |
| Jun 30, 2023 | 11.33 |
| Mar 31, 2023 | 8.73 |
| Dec 31, 2022 | 6.35 |
| Sep 30, 2022 | 7.04 |
| Jun 30, 2022 | 6.78 |
| Mar 31, 2022 | 16.57 |
| Dec 31, 2021 | 33.63 |
| Sep 30, 2021 | 15.94 |
| Jun 30, 2021 | 24.79 |
| Mar 31, 2021 | 22.58 |
| Dec 31, 2020 | 36.66 |
| Sep 30, 2020 | 59.30 |
| Jun 30, 2020 | 22.22 |
| Mar 31, 2020 | 10.82 |
API Access
Maxlinear EV to CFO 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=ev-to-cfo&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();