Everspin Technologies (MRAM) EV to EBITDA (2021 - 2024)
Everspin Technologies' (MRAM) EV to EBITDA was 60.56 for Q2 2024, up 124.4% from 26.99 a year earlier and up 163.4% from the prior quarter.
Everspin Technologies (MRAM) EV to EBITDA (2021 - 2024) Analysis & Trends
Over the twelve months ended Jun 30, 2024, Everspin Technologies' EV to EBITDA came in at -8.94; for FY2023, it was 21.67, up 81.1% from FY2022.
- By year, EV to EBITDA came in at 11.97 in FY2022 (-61.5%) and 31.06 in FY2021.
- The Q2 2024 figure ranks as the highest quarterly EV to EBITDA since Q3 2021.
- Year over year, EV to EBITDA has now increased in each of the last six quarters, with growth averaging 65.4% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was Q2 2023 (growth of 221.8%); the low point was Q3 2022 (a decline of 87.5%).
- Per Business Quant data, the three quarters before Q2 2024 came in at 22.99 (Q1 2024), 21.67 (Q4 2023) and 28.24 (Q3 2023).
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 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 60.56 |
| Mar 31, 2024 | 22.99 |
| Dec 31, 2023 | 21.67 |
| Sep 30, 2023 | 28.24 |
| Jun 30, 2023 | 26.99 |
| Mar 31, 2023 | 19.36 |
| Dec 31, 2022 | 11.97 |
| Sep 30, 2022 | 8.91 |
| Jun 30, 2022 | 8.39 |
| Mar 31, 2022 | 17.67 |
| Dec 31, 2021 | 31.06 |
| Sep 30, 2021 | 71.43 |
Everspin Technologies 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=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "MRAM", "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=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();