Everspin Technologies (MRAM) Enterprise Value (2016 - 2026)
Everspin Technologies (MRAM) recorded Enterprise Value of $447.57 million in Q3 2026, up 168.6% from $166.61 million a year earlier but down 17.6% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Enterprise Value (2016 - 2026) Analysis & Trends
For FY2025, Everspin Technologies reported Enterprise Value of $168.78 million, up 70.7% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $98.86 million in FY2024 (-35.6%), $153.62 million in FY2023 (+77.6%), $86.49 million in FY2022 (-57.4%) and $202.99 million in FY2021 (+178.3%).
- Quarterly Enterprise Value has ranged from $71.84 million in Q1 2025 to $542.99 million in Q2 2026 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for six consecutive quarters, with growth averaging 104.6% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 459.7% in Q2 2026, against a decline of 57.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $542.99 million (Q2 2026), $164.5 million (Q1 2026) and $168.78 million (Q4 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 447.57 Mn |
| Jun 30, 2026 | 542.99 Mn |
| Mar 31, 2026 | 164.50 Mn |
| Dec 31, 2025 | 168.78 Mn |
| Sep 30, 2025 | 166.61 Mn |
| Jun 30, 2025 | 97.01 Mn |
| Mar 31, 2025 | 71.84 Mn |
| Dec 31, 2024 | 98.86 Mn |
| Sep 30, 2024 | 89.23 Mn |
| Jun 30, 2024 | 92.96 Mn |
| Mar 31, 2024 | 134.74 Mn |
| Dec 31, 2023 | 153.62 Mn |
| Sep 30, 2023 | 170.86 Mn |
| Jun 30, 2023 | 160.22 Mn |
| Mar 31, 2023 | 115.63 Mn |
| Dec 31, 2022 | 86.49 Mn |
| Sep 30, 2022 | 93.96 Mn |
| Jun 30, 2022 | 82.47 Mn |
| Mar 31, 2022 | 154.06 Mn |
| Dec 31, 2021 | 202.99 Mn |
API Access
Everspin Technologies Enterprise Value 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=enterprise-value&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();