Everspin Technologies (MRAM) Return on Capital Employed [ROCE] (2016 - 2026)
Everspin Technologies' Return on Capital Employed [ROCE] came in at -13.54% for Q2 2026, down 2.51 percentage points from -11.04% a year earlier and down 3.53 percentage points from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Everspin Technologies' Return on Capital Employed [ROCE] was -9.61%, up 1.72 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +22.29 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -11.32% in FY2024 (-22.52 pp), 11.20% in FY2023 (-5.87 pp), 17.07% in FY2022 (-2.58 pp) and 19.65% in FY2021 (+51.54 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] since Q2 2021.
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -8.84 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2022 (a gain of 52.40 percentage points), and the weakest in Q4 2024 (a drop of 21.30 percentage points).
- Business Quant data shows MRAM's Return on Capital Employed [ROCE] at -10.01% (Q1 2026), -9.43% (Q4 2025) and -10.26% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.74% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 8.88% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 80.04% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.30% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 72.24% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 10.71% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 0.99% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Everspin Technologies | 299.12 Mn | 127.24 Mn | 10.61 Mn | -23.45% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -23.45% |
| Jun 30, 2026 | -13.54% |
| Mar 31, 2026 | -10.01% |
| Dec 31, 2025 | -9.43% |
| Sep 30, 2025 | -10.26% |
| Jun 30, 2025 | -11.04% |
| Mar 31, 2025 | -12.68% |
| Dec 31, 2024 | -10.86% |
| Sep 30, 2024 | -6.68% |
| Jun 30, 2024 | 0.24% |
| Mar 31, 2024 | 7.54% |
| Dec 31, 2023 | 10.44% |
| Sep 30, 2023 | 9.26% |
| Jun 30, 2023 | 9.79% |
| Mar 31, 2023 | 10.29% |
| Dec 31, 2022 | 14.25% |
| Sep 30, 2022 | 24.37% |
| Jun 30, 2022 | 24.87% |
| Mar 31, 2022 | 22.60% |
| Dec 31, 2021 | 18.78% |
API Access
Everspin Technologies Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();