Everspin Technologies (MRAM) Property, Plant & Equipment (Net) (2015 - 2026)
Everspin Technologies' Property, Plant & Equipment (Net) was $14.84 million in Q2 2026, up 286.1% from $3.84 million a year earlier but down 0.5% from the prior quarter.
Everspin Technologies (MRAM) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Everspin Technologies came in at $14.14 million, up 339.1% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 48.7% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $3.22 million in FY2024 (-13.4%), $3.72 million in FY2023 (-4.3%), $3.88 million in FY2022 (+299.1%) and $973,000 in FY2021 (-50.0%).
- Quarterly Property, Plant & Equipment (Net) has moved between $951,000 (Q3 2021) and $14.93 million (Q1 2026) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for six straight quarters, with growth averaging 119.8% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2025 (growth of 339.1%); the worst was Q3 2021 (a decline of 55.3%).
- Per Business Quant data, MRAM's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $14.93 million (Q1 2026), $14.14 million (Q4 2025) and $4.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 14.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.84 Mn |
| Mar 31, 2026 | 14.93 Mn |
| Dec 31, 2025 | 14.14 Mn |
| Sep 30, 2025 | 4.07 Mn |
| Jun 30, 2025 | 3.84 Mn |
| Mar 31, 2025 | 3.67 Mn |
| Dec 31, 2024 | 3.22 Mn |
| Sep 30, 2024 | 3.41 Mn |
| Jun 30, 2024 | 3.79 Mn |
| Mar 31, 2024 | 3.22 Mn |
| Dec 31, 2023 | 3.72 Mn |
| Sep 30, 2023 | 3.25 Mn |
| Jun 30, 2023 | 3.52 Mn |
| Mar 31, 2023 | 3.75 Mn |
| Dec 31, 2022 | 3.88 Mn |
| Sep 30, 2022 | 2.66 Mn |
| Jun 30, 2022 | 2.59 Mn |
| Mar 31, 2022 | 959,000.00 |
| Dec 31, 2021 | 973,000.00 |
| Sep 30, 2021 | 951,000.00 |
Everspin Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();