Everspin Technologies (MRAM) Non-Current Assets (2015 - 2026)
Everspin Technologies (MRAM) reported Non-Current Assets of $20.39 million for Q2 2026, up 43.9% from $14.17 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Everspin Technologies posted Non-Current Assets of $19.45 million, up 43.1% from FY2024.
- Non-Current Assets has a five-year compound annual growth rate of 35.0% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $13.59 million in FY2024 (+44.2%), $9.42 million in FY2023 (-11.0%), $10.59 million in FY2022 (+304.0%) and $2.62 million in FY2021 (-39.5%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to Q4 2015.
- Year over year, Non-Current Assets has now increased in each of the last seven quarters, with growth averaging 40.1% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2022 (growth of 304.0%); the low point was Q3 2021 (a decline of 44.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.47 million (Q1 2026), $19.45 million (Q4 2025) and $13.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 122.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 152.18 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 135.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 67.38 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 52.94 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 23.22 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 145.23 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 7.92 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 18.43 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 20.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.39 Mn |
| Mar 31, 2026 | 19.47 Mn |
| Dec 31, 2025 | 19.45 Mn |
| Sep 30, 2025 | 13.63 Mn |
| Jun 30, 2025 | 14.17 Mn |
| Mar 31, 2025 | 13.48 Mn |
| Dec 31, 2024 | 13.59 Mn |
| Sep 30, 2024 | 8.58 Mn |
| Jun 30, 2024 | 9.18 Mn |
| Mar 31, 2024 | 9.78 Mn |
| Dec 31, 2023 | 9.42 Mn |
| Sep 30, 2023 | 9.10 Mn |
| Jun 30, 2023 | 9.66 Mn |
| Mar 31, 2023 | 10.18 Mn |
| Dec 31, 2022 | 10.59 Mn |
| Sep 30, 2022 | 9.64 Mn |
| Jun 30, 2022 | 6.31 Mn |
| Mar 31, 2022 | 5.70 Mn |
| Dec 31, 2021 | 2.62 Mn |
| Sep 30, 2021 | 2.71 Mn |
API Access
Everspin Technologies Non-Current Assets 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=non-current-assets&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();