Maxlinear (MXL) EV to EBITDA (2010 - 2026)
Maxlinear's (MXL) EV to EBITDA came in at 208.04 for Q3 2026.
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Analysis
Maxlinear (MXL) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EV to EBITDA at Maxlinear was 202.96; for FY2023, it came in at 49.02, up 422.3% from FY2022.
- In prior years, Maxlinear's EV to EBITDA was 9.38 in FY2022 (-73.5%), 35.35 in FY2021 and 31.03 in FY2019 (+64.8%).
- The Q3 2026 figure stands as the highest quarterly EV to EBITDA in data going back to Q1 2016.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q4 2023, with growth of 422.3%; the weakest was Q1 2022, with a decline of 88.1%.
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 | 208.04 |
| Dec 31, 2023 | 49.02 |
| Sep 30, 2023 | 13.35 |
| Jun 30, 2023 | 12.04 |
| Mar 31, 2023 | 10.90 |
| Dec 31, 2022 | 9.38 |
| Sep 30, 2022 | 9.21 |
| Jun 30, 2022 | 10.41 |
| Mar 31, 2022 | 21.78 |
| Dec 31, 2021 | 35.35 |
| Sep 30, 2021 | 34.12 |
| Jun 30, 2021 | 69.42 |
| Mar 31, 2021 | 177.31 |
| Jun 30, 2020 | 107.62 |
| Mar 31, 2020 | 22.27 |
| Dec 31, 2019 | 31.03 |
| Sep 30, 2019 | 33.55 |
| Jun 30, 2019 | 40.41 |
| Mar 31, 2019 | 37.85 |
| Dec 31, 2018 | 18.83 |
API Access
Maxlinear EV to EBITDA 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-ebitda&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();