Everspin Technologies (MRAM) Return on Assets [ROA] (2016 - 2026)
Everspin Technologies (MRAM) posted Return on Assets [ROA] of -3.05% for Q2 2026, down 5.13 percentage points from 2.07% a year earlier and down 3.39 percentage points from the prior quarter.
Everspin Technologies (MRAM) Return on Assets [ROA] (2016 - 2026) Analysis & Trends
For FY2025, Everspin Technologies' Return on Assets [ROA] came in at -0.72%, down 1.80 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of +24.35 percentage points (FY2020 to FY2025).
- In prior years, Everspin Technologies' Return on Assets [ROA] was 1.08% in FY2024 (-13.69 pp), 14.76% in FY2023 (+1.82 pp), 12.94% in FY2022 (+0.86 pp) and 12.08% in FY2021 (+37.15 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Assets [ROA] since Q2 2021.
- On a year-over-year basis, Return on Assets [ROA] increased in 1 of the last eight quarters, with an average year-over-year change of -5.64 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q1 2022, with a gain of 37.85 percentage points; the weakest was Q4 2024, with a drop of 12.63 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 0.34% (Q1 2026), -0.71% (Q4 2025) and -0.71% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -466,841,983.85% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 7.44% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 66.53% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 20.84% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 51.50% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 8.50% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | -5.54% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 22.69% |
| 10 | Everspin Technologies | 299.12 Mn | 127.24 Mn | 10.61 Mn | -10.99% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -10.99% |
| Jun 30, 2026 | -3.05% |
| Mar 31, 2026 | 0.34% |
| Dec 31, 2025 | -0.71% |
| Sep 30, 2025 | -0.71% |
| Jun 30, 2025 | 2.07% |
| Mar 31, 2025 | -0.23% |
| Dec 31, 2024 | 1.04% |
| Sep 30, 2024 | 2.21% |
| Jun 30, 2024 | 2.58% |
| Mar 31, 2024 | 12.10% |
| Dec 31, 2023 | 13.67% |
| Sep 30, 2023 | 12.62% |
| Jun 30, 2023 | 12.87% |
| Mar 31, 2023 | 8.99% |
| Dec 31, 2022 | 11.26% |
| Sep 30, 2022 | 18.43% |
| Jun 30, 2022 | 18.43% |
| Mar 31, 2022 | 16.42% |
| Dec 31, 2021 | 11.69% |
Everspin Technologies Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();