SeekingAlpha · Jul 18, 2026
NASDAQ · MRAM
Everspin Technologies, Inc.
Technology · Semiconductors
$15.93
Down-$0.79 (-4.72%)
Updated Sep 11, 2026, 3:46 AM
SID Score
5.5/10
Composite research score
Smart Money
—
Institutional and insider signal
- Market cap
- 222.17M
- P/E ratio
- -433.76
- Dividend yield
- 0.00%
- 52-week range
- $8.00 – $51.50
- Volume
- 615.87K
- Avg. volume
- 288.8K
Price performance
MRAM price history
1M range · 20 trading sessions · Daily adjusted prices
MRAM closed at $15.93 after 20 trading sessions, down 5.35% for the selected period.
- Last close
- $15.93
- Period change
- -5.35%
- Period low
- $15.85
- Period high
- $19.85
View OHLC price history
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Sep 10, 2026 | $16.14 | $16.69 | $15.90 | $15.93 | 615.87K |
| Sep 9, 2026 | $16.52 | $17.45 | $16.50 | $16.72 | 872.52K |
| Sep 8, 2026 | $17.00 | $17.35 | $16.59 | $16.65 | 873.61K |
| Sep 4, 2026 | $16.15 | $16.45 | $15.93 | $16.37 | 729.44K |
| Sep 3, 2026 | $15.88 | $16.16 | $15.42 | $15.85 | 573.37K |
| Sep 2, 2026 | $15.85 | $16.1134 | $15.55 | $15.90 | 596.72K |
| Sep 1, 2026 | $15.62 | $16.08 | $15.3006 | $15.86 | 1.05M |
| Aug 31, 2026 | $16.36 | $16.90 | $15.982 | $16.25 | 589.2K |
| Aug 28, 2026 | $17.29 | $17.29 | $16.30 | $16.55 | 863.2K |
| Aug 27, 2026 | $18.50 | $18.50 | $17.1606 | $17.46 | 724.6K |
| Aug 26, 2026 | $17.32 | $18.015 | $16.92 | $17.61 | 978.34K |
| Aug 25, 2026 | $17.00 | $18.8799 | $16.81 | $17.63 | 1.92M |
| Aug 24, 2026 | $16.50 | $16.5688 | $15.90 | $16.14 | 1.03M |
| Aug 21, 2026 | $17.28 | $17.3799 | $16.4044 | $17.11 | 893.89K |
| Aug 20, 2026 | $17.10 | $17.75 | $16.66 | $16.97 | 1.11M |
| Aug 19, 2026 | $18.905 | $18.905 | $16.84 | $17.44 | 1.54M |
| Aug 18, 2026 | $18.51 | $19.4913 | $17.4405 | $18.45 | 1.99M |
| Aug 17, 2026 | $19.84 | $20.15 | $18.96 | $19.85 | 1.98M |
| Aug 14, 2026 | $17.05 | $18.91 | $17.04 | $18.88 | 1.57M |
| Aug 13, 2026 | $16.835 | $17.5285 | $16.57 | $16.83 | 1.03M |
Latest MRAM news
The latest Smart Investors Daily articles mentioning MRAM.
Stock researchCompany · Overview
MRAM research
Overview
Company profile and research snapshot.
Company profile
Everspin Technologies Inc is a provider of Magnetoresistive Random Access Memory (MRAM) products. Its portfolio of MRAM technologies, including Toggle MRAM and Spin-transfer Torque MRAM (STT-MRAM), delivers superior performance, persistence, and reliability in non-volatile memories that transform how mission-critical data is protected against power loss. The company derives revenue from the sale of MRAM-based products in discrete unit form, licenses of and royalties on MRAM and magnetic sensor technology, the sale of backend foundry services, and design services to third parties. It recognizes revenue in three primary geographic regions; North America; Europe, the Middle East, and Africa (EMEA) and Asia-Pacific (APAC).
Visit company websiteAnalyst outlook
Consensus and target data currently published for this company.
- Consensus
- —
- Average target
- $9.00
- Implied upside
- —
- Analysts
- —
| Date | Firm | Rating | Target |
|---|---|---|---|
| Aug 6, 2026 | Needham | Buy | — |
| Apr 30, 2026 | Needham | Buy | — |
| Mar 5, 2026 | Needham | Buy | — |
| Nov 10, 2025 | Needham | Buy | — |
| Oct 31, 2024 | Needham | Buy | — |
News briefing
No generated briefing is available yet.
Benzinga · Feb 2, 2026
Everspin Technologies Faces Lawsuit From Avalanche Technology; Patent Infringement Complaint Filed With U.S. ITC; Co To Defend Against Claims; Co Believes It Has Meritorious Arguments Against Avalanche's Claims
-SEC Filing
seekingalpha.com · Dec 6, 2025
Everspin Technologies: A Niche Leader With A Strong Balance Sheet
Everspin Technologies is rated a cautious buy, leveraging niche leadership in high-reliability memory for LEO satellites, automotive, and industrial automation. MRAM delivered 16% YoY revenue growth to $14.1M, with product sales up 22%, and GAAP gross margins rising to 51.3%. A strong $45.3M cash position provides downside protection, but clarity on capital deployment and a path to durable profitability remain needed.
AI research layers
Interpretive context generated from the platform’s current data sources.
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