Everspin Technologies (MRAM) Other Operating Expenses (2015 - 2026)
Everspin Technologies (MRAM) reported Other Operating Expenses of $1.82 million for Q2 2026, up 20.4% from $1.51 million a year earlier but down 4.1% from the prior quarter.
Everspin Technologies (MRAM) Other Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Everspin Technologies' Other Operating Expenses came in at $6.82 million, up 18.5% year-over-year; for FY2025, it was $6.11 million, up 13.4% from FY2024.
- Other Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $5.39 million in FY2024 (+1.9%), $5.29 million in FY2023 (+8.6%), $4.87 million in FY2022 (+9.2%) and $4.46 million in FY2021 (+12.0%).
- Five-year quarterly Other Operating Expenses spans a low of $1.13 million in Q1 2022 and a high of $1.89 million in Q1 2026.
- Year over year, Other Operating Expenses has now increased in each of the last seven quarters, with growth averaging 14.0% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2021 (growth of 39.5%); the low point was Q3 2022 (a decline of 5.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.89 million (Q1 2026), $1.64 million (Q4 2025) and $1.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.82 Mn |
| Mar 31, 2026 | 1.89 Mn |
| Dec 31, 2025 | 1.64 Mn |
| Sep 30, 2025 | 1.48 Mn |
| Jun 30, 2025 | 1.51 Mn |
| Mar 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 1.44 Mn |
| Sep 30, 2024 | 1.32 Mn |
| Jun 30, 2024 | 1.32 Mn |
| Mar 31, 2024 | 1.31 Mn |
| Dec 31, 2023 | 1.27 Mn |
| Sep 30, 2023 | 1.35 Mn |
| Jun 30, 2023 | 1.36 Mn |
| Mar 31, 2023 | 1.32 Mn |
| Dec 31, 2022 | 1.24 Mn |
| Sep 30, 2022 | 1.20 Mn |
| Jun 30, 2022 | 1.29 Mn |
| Mar 31, 2022 | 1.13 Mn |
| Dec 31, 2021 | 1.16 Mn |
| Sep 30, 2021 | 1.27 Mn |
Everspin Technologies Other Operating Expenses 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-operating-expenses&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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-operating-expenses&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();