Everspin Technologies (MRAM) Goodwill & Intangibles (2015 - 2026)
Everspin Technologies' Goodwill & Intangibles came in at $897,000 for Q2 2026, down 64.8% from $2.55 million a year earlier and down 29.5% from the prior quarter.
Everspin Technologies (MRAM) Goodwill & Intangibles (2015 - 2026) Analysis & Trends
At the end of FY2025, Everspin Technologies' Goodwill & Intangibles was $1.71 million, down 49.8% from FY2024.
- Going back by year, Goodwill & Intangibles was $3.42 million in FY2024.
- The Q2 2026 figure represents the lowest quarterly Goodwill & Intangibles since Q3 2016.
- Year-over-year, Goodwill & Intangibles has declined for three consecutive quarters.
- Business Quant data shows MRAM's Goodwill & Intangibles at $1.27 million (Q1 2026), $1.71 million (Q4 2025) and $2.15 million (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 458,000.00 |
| Jun 30, 2026 | 897,000.00 |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 1.71 Mn |
| Sep 30, 2025 | 2.15 Mn |
| Jun 30, 2025 | 2.55 Mn |
| Mar 31, 2025 | 2.97 Mn |
| Dec 31, 2024 | 3.42 Mn |
| Sep 30, 2016 | 33,000.00 |
| Dec 31, 2015 | 132,000.00 |
Everspin Technologies Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MRAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();