Everspin Technologies (MRAM) Price to Earnings (2021 - 2026)
Everspin Technologies' Price to Earnings came in at 721.80 for Q1 2026.
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Analysis
Everspin Technologies (MRAM) Price to Earnings (2021 - 2026) Analysis & Trends
For FY2024, Everspin Technologies' Price to Earnings was 180.49, up 755.0% from FY2023.
- Going back by year, Price to Earnings was 21.11 in FY2023 (+13.8%), 18.55 in FY2022 (-64.1%) and 51.67 in FY2021.
- The Q1 2026 figure represents the highest quarterly Price to Earnings in data going back to Q4 2021.
- The fastest year-over-year change in Price to Earnings over five years came in Q4 2024 (growth of 755.0%), and the weakest in Q4 2022 (a decline of 64.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 721.80 |
| Jun 30, 2025 | 86.09 |
| Dec 31, 2024 | 180.49 |
| Sep 30, 2024 | 83.92 |
| Jun 30, 2024 | 78.43 |
| Mar 31, 2024 | 21.08 |
| Dec 31, 2023 | 21.11 |
| Sep 30, 2023 | 26.82 |
| Jun 30, 2023 | 26.57 |
| Mar 31, 2023 | 28.17 |
| Dec 31, 2022 | 18.56 |
| Sep 30, 2022 | 12.82 |
| Jun 30, 2022 | 12.98 |
| Mar 31, 2022 | 25.86 |
| Dec 31, 2021 | 51.67 |
API Access
Everspin Technologies Price to Earnings 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=price-to-earnings&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();