Everspin Technologies (MRAM) Return on Sales [ROS] (2015 - 2026)
Everspin Technologies' Return on Sales [ROS] came in at -23.39% for Q2 2026, down 8.54 percentage points from -14.85% a year earlier and down 5.13 percentage points from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Everspin Technologies reported Return on Sales [ROS] of -15.55%, down 0.91 percentage points year-over-year; for FY2025, it was -11.79%, up 2.28 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +6.20 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -14.07% in FY2024 (-23.30 pp), 9.23% in FY2023 (-1.15 pp), 10.38% in FY2022 (+1.25 pp) and 9.13% in FY2021 (+27.12 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2024.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -6.34 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 43.94 percentage points), and the weakest in Q2 2024 (a drop of 36.81 percentage points).
- Business Quant data shows MRAM's Return on Sales [ROS] at -18.26% (Q1 2026), -7.23% (Q4 2025) and -10.99% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 66.24% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 60.34% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 53.92% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 80.37% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.25% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 11.14% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 37.39% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 33.74% |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | -23.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -23.39% |
| Mar 31, 2026 | -18.26% |
| Dec 31, 2025 | -7.23% |
| Sep 30, 2025 | -10.99% |
| Jun 30, 2025 | -14.85% |
| Mar 31, 2025 | -14.71% |
| Dec 31, 2024 | -11.76% |
| Sep 30, 2024 | -17.49% |
| Jun 30, 2024 | -26.50% |
| Mar 31, 2024 | -4.16% |
| Dec 31, 2023 | 9.50% |
| Sep 30, 2023 | 12.02% |
| Jun 30, 2023 | 10.31% |
| Mar 31, 2023 | 4.69% |
| Dec 31, 2022 | 3.52% |
| Sep 30, 2022 | 12.54% |
| Jun 30, 2022 | 11.83% |
| Mar 31, 2022 | 14.11% |
| Dec 31, 2021 | 20.79% |
| Sep 30, 2021 | 7.27% |
API Access
Everspin Technologies Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();