Everspin Technologies (MRAM) Market Capitalization (2016 - 2026)
Everspin Technologies (MRAM) posted Market Capitalization of $586.88 million for Q2 2026, up 313.4% from $141.97 million a year earlier and up 186.3% from the prior quarter.
Everspin Technologies (MRAM) Market Capitalization (2016 - 2026) Analysis & Trends
For FY2025, Everspin Technologies' Market Capitalization came in at $213.23 million, up 51.3% from FY2024.
- Annual Market Capitalization shows a five-year compound annual growth rate of 19.5% (FY2020 to FY2025).
- In prior years, Everspin Technologies' Market Capitalization was $140.96 million in FY2024 (-26.0%), $190.57 million in FY2023 (+68.2%), $113.28 million in FY2022 (-49.5%) and $224.4 million in FY2021 (+156.3%).
- The Q2 2026 figure stands as the highest quarterly Market Capitalization in data going back to Q4 2016.
- On a year-over-year basis, Market Capitalization has increased in each of the last five quarters, with growth averaging 52.8% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was Q2 2026, with growth of 313.4%; the weakest was Q4 2022, with a decline of 49.5%.
- According to Business Quant data, Market Capitalization for the three prior quarters was $204.99 million (Q1 2026), $213.23 million (Q4 2025) and $211.87 million (Q3 2025).
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, 2026 | 586.88 Mn |
| Mar 31, 2026 | 204.99 Mn |
| Dec 31, 2025 | 213.23 Mn |
| Sep 30, 2025 | 211.87 Mn |
| Jun 30, 2025 | 141.97 Mn |
| Mar 31, 2025 | 114.00 Mn |
| Dec 31, 2024 | 140.96 Mn |
| Sep 30, 2024 | 128.81 Mn |
| Jun 30, 2024 | 129.72 Mn |
| Mar 31, 2024 | 169.54 Mn |
| Dec 31, 2023 | 190.57 Mn |
| Sep 30, 2023 | 205.79 Mn |
| Jun 30, 2023 | 191.05 Mn |
| Mar 31, 2023 | 139.84 Mn |
| Dec 31, 2022 | 113.28 Mn |
| Sep 30, 2022 | 117.40 Mn |
| Jun 30, 2022 | 105.52 Mn |
| Mar 31, 2022 | 173.95 Mn |
| Dec 31, 2021 | 224.40 Mn |
| Sep 30, 2021 | 126.70 Mn |
Everspin Technologies Market Capitalization 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=market-capitalization&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();