Everspin Technologies (MRAM) Other Non-Current Assets (2015 - 2026)
Everspin Technologies (MRAM) reported Other Non-Current Assets of $1.89 million for Q2 2026, down 51.2% from $3.87 million a year earlier but up 436.6% from the prior quarter.
Everspin Technologies (MRAM) Other Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Everspin Technologies posted Other Non-Current Assets of $342,000, down 85.8% from FY2024.
- Other Non-Current Assets has a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $2.4 million in FY2024, $212,000 in FY2023 (+241.9%), $62,000 in FY2022 (-91.6%) and $734,000 in FY2021 (+905.5%).
- Five-year quarterly Other Non-Current Assets spans a low of $62,000 in Q2 2022 and a high of $3.87 million in Q2 2025.
- Year over year, Other Non-Current Assets has now declined in each of the last three quarters, with growth averaging 40.1% over the last four quarters.
- The high point for year-over-year Other Non-Current Assets in five years was Q1 2022 (growth of 953.4%); the low point was Q1 2023 (a decline of 91.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $352,000 (Q1 2026), $342,000 (Q4 2025) and $3.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 15.75 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 4.21 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 8.71 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 3.84 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.90 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 1.67 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 8.07 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.07 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 1.45 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 1.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89 Mn |
| Mar 31, 2026 | 352,000.00 |
| Dec 31, 2025 | 342,000.00 |
| Sep 30, 2025 | 3.83 Mn |
| Jun 30, 2025 | 3.87 Mn |
| Mar 31, 2025 | 2.61 Mn |
| Dec 31, 2024 | 2.40 Mn |
| Sep 30, 2024 | 300,000.00 |
| Jun 30, 2024 | 211,000.00 |
| Mar 31, 2024 | 212,000.00 |
| Dec 31, 2023 | 212,000.00 |
| Sep 30, 2023 | 62,000.00 |
| Jun 30, 2023 | 62,000.00 |
| Mar 31, 2023 | 62,000.00 |
| Dec 31, 2022 | 62,000.00 |
| Sep 30, 2022 | 62,000.00 |
| Jun 30, 2022 | 62,000.00 |
| Mar 31, 2022 | 769,000.00 |
| Dec 31, 2021 | 734,000.00 |
| Sep 30, 2021 | 488,000.00 |
Everspin Technologies Other 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=other-non-current-assets&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();