Maxlinear (MXL) EV to EBIT (2010 - 2023)
Maxlinear's (MXL) EV to EBIT came in at 36.10 for Q3 2023, up 157.3% from 14.03 a year earlier and up 78.9% from the prior quarter.
Maxlinear (MXL) EV to EBIT (2010 - 2023) Analysis & Trends
For the trailing twelve months through Sep 30, 2023, EV to EBIT at Maxlinear was 20.94, up 93.0% year-over-year; for FY2022, it came in at 13.69, down 84.2% from FY2021.
- In prior years, Maxlinear's EV to EBIT was 86.72 in FY2021.
- The Q3 2023 figure stands as the highest quarterly EV to EBIT since Q1 2022.
- On a year-over-year basis, EV to EBIT increased in two of the last five quarters, with an average decline of 13.4%.
- According to Business Quant data, EV to EBIT for the three prior quarters was 20.18 (Q2 2023), 16.25 (Q1 2023) and 13.69 (Q4 2022).
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
| Date | Value |
|---|---|
| Sep 30, 2023 | 36.10 |
| Jun 30, 2023 | 20.18 |
| Mar 31, 2023 | 16.25 |
| Dec 31, 2022 | 13.69 |
| Sep 30, 2022 | 14.03 |
| Jun 30, 2022 | 17.30 |
| Mar 31, 2022 | 42.00 |
| Dec 31, 2021 | 86.72 |
| Sep 30, 2021 | 294.60 |
| Jun 30, 2017 | 129.61 |
| Mar 31, 2017 | 32.46 |
| Dec 31, 2016 | 18.10 |
| Sep 30, 2016 | 23.35 |
| Jun 30, 2016 | 23.08 |
| Mar 31, 2011 | 643.63 |
| Dec 31, 2010 | 55.16 |
| Sep 30, 2010 | 38.99 |
| Jun 30, 2010 | 47.62 |
| Mar 31, 2010 | 80.70 |
Maxlinear EV to EBIT 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-ebit&ticker=MXL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();