Everspin Technologies (MRAM) Revenue (2015 - 2026)
Everspin Technologies' Revenue was $18.74 million in Q2 2026, up 41.9% from $13.2 million a year earlier and up 26.0% from the prior quarter.
Everspin Technologies (MRAM) Revenue (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Everspin Technologies' Revenue was $62.47 million through Jun 30, 2026, up 20.9% year-over-year; for FY2025, it was $55.2 million, up 9.5% from FY2024.
- Revenue shows a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In earlier years, Revenue was $50.4 million in FY2024 (-21.0%), $63.77 million in FY2023 (+6.3%), $59.99 million in FY2022 (+8.8%) and $55.15 million in FY2021 (+31.2%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q3 2015.
- Compared with a year earlier, Revenue has increased for five straight quarters, with growth averaging 6.4% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2021 (growth of 82.7%); the worst was Q2 2024 (a decline of 32.5%).
- Per Business Quant data, MRAM's Revenue in the three quarters before Q2 2026 was $14.87 million (Q1 2026), $14.8 million (Q4 2025) and $14.06 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 96.22 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 40.19 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 29.59 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 41.46 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 11.54 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 11.31 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 16.13 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 6.72 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 9.12 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 18.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.74 Mn |
| Mar 31, 2026 | 14.87 Mn |
| Dec 31, 2025 | 14.80 Mn |
| Sep 30, 2025 | 14.06 Mn |
| Jun 30, 2025 | 13.20 Mn |
| Mar 31, 2025 | 13.14 Mn |
| Dec 31, 2024 | 13.24 Mn |
| Sep 30, 2024 | 12.09 Mn |
| Jun 30, 2024 | 10.64 Mn |
| Mar 31, 2024 | 14.43 Mn |
| Dec 31, 2023 | 16.71 Mn |
| Sep 30, 2023 | 16.47 Mn |
| Jun 30, 2023 | 15.75 Mn |
| Mar 31, 2023 | 14.85 Mn |
| Dec 31, 2022 | 15.69 Mn |
| Sep 30, 2022 | 15.24 Mn |
| Jun 30, 2022 | 14.71 Mn |
| Mar 31, 2022 | 14.35 Mn |
| Dec 31, 2021 | 18.22 Mn |
| Sep 30, 2021 | 14.80 Mn |
Everspin Technologies Revenue 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=revenue&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();