Everspin Technologies (MRAM) Times Interest Earned (2015 - 2023)
Everspin Technologies' (MRAM) Times Interest Earned stood at 93.41 in FY2023, up 311.0% from 22.73 in FY2022.
Analysis
Everspin Technologies (MRAM) Times Interest Earned (2015 - 2023) Analysis & Trends
Starting with FY2014, Everspin Technologies' Times Interest Earned history includes 10 years.
- The FY2023 figure is the highest annual Times Interest Earned in data going back to FY2014.
- Per Business Quant data, MRAM's Times Interest Earned was 22.73 in FY2022 (+146.9%), 9.20 in FY2021, -11.37 in FY2020 and -19.29 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (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 | 248.49 |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.51 |
| 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 | 53.78 |
| 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 | 45.22 |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 11.05 |
| Dec 31, 2022 | 9.86 |
| Sep 30, 2022 | 26.18 |
| Jun 30, 2022 | 24.86 |
| Mar 31, 2022 | 26.99 |
| Dec 31, 2021 | 44.05 |
| Sep 30, 2021 | 6.52 |
| Jun 30, 2021 | 3.17 |
| Mar 31, 2021 | -1.87 |
| Dec 31, 2020 | -7.21 |
| Sep 30, 2020 | -23.64 |
| Jun 30, 2020 | -6.32 |
| Mar 31, 2020 | -9.20 |
| Dec 31, 2019 | -17.02 |
| Sep 30, 2019 | -21.07 |
| Jun 30, 2019 | -19.33 |
| Mar 31, 2019 | -19.77 |
| Dec 31, 2018 | -14.89 |
| Sep 30, 2018 | -24.19 |
| Jun 30, 2018 | -32.79 |
API Access
Everspin Technologies Times Interest Earned 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=times-interest-earned&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();