Maxlinear (MXL) EV to EBITDA (2016 - 2023)
Maxlinear's (MXL) EV to EBITDA came in at 52.79 for Q4 2023, up 458.3% from 9.46 a year earlier and up 287.6% from the prior quarter.
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Analysis
Maxlinear (MXL) EV to EBITDA (2016 - 2023) Analysis & Trends
Since Q1 2016, Maxlinear has reported EV to EBITDA for 30 quarters.
- In prior years, Maxlinear's EV to EBITDA was 9.46 in FY2022 (-73.8%), 36.03 in FY2021 and 32.14 in FY2019 (+67.5%).
- The Q4 2023 figure stands as the highest quarterly EV to EBITDA since Q2 2021.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 18.4% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q1 2021, with growth of 839.9%; the weakest was Q1 2022, with a decline of 90.0%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 13.62 (Q3 2023), 12.18 (Q2 2023) and 11.00 (Q1 2023).
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 |
|---|---|
| Dec 31, 2023 | 52.79 |
| Sep 30, 2023 | 13.62 |
| Jun 30, 2023 | 12.18 |
| Mar 31, 2023 | 11.00 |
| Dec 31, 2022 | 9.46 |
| Sep 30, 2022 | 9.28 |
| Jun 30, 2022 | 10.50 |
| Mar 31, 2022 | 22.08 |
| Dec 31, 2021 | 36.03 |
| Sep 30, 2021 | 35.26 |
| Jun 30, 2021 | 75.22 |
| Mar 31, 2021 | 219.71 |
| Jun 30, 2020 | 121.91 |
| Mar 31, 2020 | 23.37 |
| Dec 31, 2019 | 32.14 |
| Sep 30, 2019 | 36.13 |
| Jun 30, 2019 | 41.82 |
| Mar 31, 2019 | 38.91 |
| Dec 31, 2018 | 19.19 |
| Sep 30, 2018 | 17.19 |
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();