Everspin Technologies (MRAM) Market Capitalization (2016 - 2026)
Everspin Technologies (MRAM) posted Market Capitalization of $447.57 million for Q3 2026, up 111.2% from $211.87 million a year earlier but down 23.7% 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%).
- Quarterly Market Capitalization has run from a low of $105.52 million in Q2 2022 to a high of $586.88 million in Q2 2026 over five years.
- On a year-over-year basis, Market Capitalization has increased in each of the last six quarters, with growth averaging 71.4% 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 $586.88 million (Q2 2026), $204.99 million (Q1 2026) and $213.23 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Everspin Technologies | 299.12 Mn | 127.24 Mn | 10.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 447.57 Mn |
| 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 |
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();