Everspin Technologies (MRAM) Other Operating Expenses (2015 - 2026)
Everspin Technologies (MRAM) recorded Other Operating Expenses of $6.65 million in Q2 2026, up 41.9% from $4.69 million a year earlier and up 21.0% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Other Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Everspin Technologies' Other Operating Expenses came in at $22.42 million as of Jun 30, 2026, up 19.8% year-over-year; for FY2025, it came in at $20.2 million, up 15.6% from FY2024.
- Annual Other Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $17.48 million in FY2024 (+10.2%), $15.86 million in FY2023 (+5.9%), $14.98 million in FY2022 (-3.9%) and $15.59 million in FY2021 (+21.0%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses since Q3 2018.
- On a year-over-year basis, Other Operating Expenses has increased for nine consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 144.4% in Q3 2021, against a decline of 11.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.5 million (Q1 2026), $5.2 million (Q4 2025) and $5.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Everspin Technologies | 299.12 Mn | 127.24 Mn | 10.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.96 Mn |
| 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 |
API Access
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_KEYimport 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();