Everspin Technologies (MRAM) Revenue (2015 - 2026)
Analysis
Everspin Technologies (MRAM) Revenue (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.87 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 46.73 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 96.22 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 29.59 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 54.23 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 13.38 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 11.31 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 16.51 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 10.41 Bn |
| 10 | Everspin Technologies | 299.12 Mn | 127.24 Mn | 10.61 Mn | 20.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.65 Mn |
| 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 |
API Access
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();