Everspin Technologies (MRAM) Current Assets (2015 - 2026)
Everspin Technologies (MRAM) reported Current Assets of $69.01 million for Q2 2026, up 6.6% from $64.75 million a year earlier and up 8.3% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Everspin Technologies posted Current Assets of $65.16 million, up 1.5% from FY2024.
- Current Assets has increased for five consecutive years, with a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- By year, Current Assets came in at $64.2 million in FY2024 (+10.9%), $57.88 million in FY2023 (+29.3%), $44.75 million in FY2022 (+21.7%) and $36.76 million in FY2021 (+30.4%).
- The Q2 2026 figure ranks as the highest quarterly Current Assets in data going back to Q4 2015.
- Year over year, Current Assets gained in seven of the last eight quarters, with growth averaging 9.1%.
- The high point for year-over-year Current Assets in five years was Q3 2022 (growth of 37.1%); the low point was Q1 2026 (a decline of 4.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $63.72 million (Q1 2026), $65.16 million (Q4 2025) and $66.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 197.41 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 144.45 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 52.17 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 66.74 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 31.52 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 35.64 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 57.21 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 15.61 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 25.10 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 69.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.01 Mn |
| Mar 31, 2026 | 63.72 Mn |
| Dec 31, 2025 | 65.16 Mn |
| Sep 30, 2025 | 66.64 Mn |
| Jun 30, 2025 | 64.75 Mn |
| Mar 31, 2025 | 66.75 Mn |
| Dec 31, 2024 | 64.20 Mn |
| Sep 30, 2024 | 64.02 Mn |
| Jun 30, 2024 | 55.38 Mn |
| Mar 31, 2024 | 56.38 Mn |
| Dec 31, 2023 | 57.88 Mn |
| Sep 30, 2023 | 53.90 Mn |
| Jun 30, 2023 | 47.61 Mn |
| Mar 31, 2023 | 42.18 Mn |
| Dec 31, 2022 | 44.75 Mn |
| Sep 30, 2022 | 44.15 Mn |
| Jun 30, 2022 | 39.51 Mn |
| Mar 31, 2022 | 36.97 Mn |
| Dec 31, 2021 | 36.76 Mn |
| Sep 30, 2021 | 32.19 Mn |
API Access
Everspin Technologies 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=current-assets&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();