Maxlinear (MXL) EV to EBIT (2011 - 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.
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Analysis
Maxlinear (MXL) EV to EBIT (2011 - 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 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 |
|---|---|
| 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 | 865.89 |
API Access
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_KEYimport 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();