Everspin Technologies (MRAM) Capital Expenditures (2015 - 2026)
Everspin Technologies' Capital Expenditures was $1.32 million in Q2 2026, down 33.5% from $1.99 million a year earlier and down 69.6% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Capital Expenditures (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Everspin Technologies' Capital Expenditures was $9.61 million through Jun 30, 2026, up 104.1% year-over-year; for FY2025, it came in at $6.84 million, up 124.3% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 84.5% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $3.05 million in FY2024 (+117.2%), $1.4 million in FY2023 (-49.6%), $2.79 million in FY2022 (+170.7%) and $1.03 million in FY2021 (+221.9%).
- Quarterly Capital Expenditures has moved between $17,000 (Q3 2023) and $4.36 million (Q1 2026) over five years.
- Compared with a year earlier, Capital Expenditures was higher in five of the last seven quarters, with growth averaging 224.5%.
- The best year-over-year quarter for Capital Expenditures over five years was Q4 2024 (growth of 439.2%); the worst was Q3 2023 (a decline of 94.8%).
- Per Business Quant data, MRAM's Capital Expenditures in the three quarters before Q2 2026 was $4.36 million (Q1 2026), $3.6 million (Q4 2025) and $338,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.68 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 | 532.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 7.83 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 808.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 2.56 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 188.80 Mn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 707.00 Mn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 1.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Mn |
| Mar 31, 2026 | 4.36 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 338,000.00 |
| Jun 30, 2025 | 1.99 Mn |
| Mar 31, 2025 | 913,000.00 |
| Dec 31, 2024 | 1.75 Mn |
| Sep 30, 2024 | 63,000.00 |
| Jun 30, 2024 | 34,000.00 |
| Mar 31, 2024 | 1.21 Mn |
| Dec 31, 2023 | 324,000.00 |
| Sep 30, 2023 | 17,000.00 |
| Jun 30, 2023 | 52,000.00 |
| Mar 31, 2023 | 1.01 Mn |
| Dec 31, 2022 | 1.47 Mn |
| Sep 30, 2022 | 324,000.00 |
| Jun 30, 2022 | 974,000.00 |
| Mar 31, 2022 | 22,000.00 |
| Dec 31, 2021 | 452,000.00 |
| Sep 30, 2021 | 24,000.00 |
API Access
Everspin Technologies Capital Expenditures 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=capital-expenditures&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();