Everspin Technologies (MRAM) Current Leases (2019 - 2026)
Everspin Technologies (MRAM) recorded Current Leases of $1.41 million in Q2 2026, up 4.7% from $1.34 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Current Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Everspin Technologies reported Current Leases of $1.38 million, up 5.7% from FY2024.
- Annual Current Leases has increased for four straight years, with a four-year compound annual growth rate of 17.5% (FY2021 to FY2025).
- Across earlier years, Current Leases came in at $1.31 million in FY2024 (+9.7%), $1.19 million in FY2023 (+6.1%), $1.12 million in FY2022 (+55.0%) and $724,000 in FY2021.
- The Q2 2026 figure is the highest quarterly Current Leases since Q2 2019.
- On a year-over-year basis, Current Leases has increased for 15 consecutive quarters, with growth averaging 6.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Current Leases ranged from 4.7% (Q2 2026) to 55.0% (Q4 2022).
- Per Business Quant, the preceding three quarters came in at $1.4 million (Q1 2026), $1.38 million (Q4 2025) and $1.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Leases (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 | 1.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.41 Mn |
| Mar 31, 2026 | 1.40 Mn |
| Dec 31, 2025 | 1.38 Mn |
| Sep 30, 2025 | 1.36 Mn |
| Jun 30, 2025 | 1.34 Mn |
| Mar 31, 2025 | 1.32 Mn |
| Dec 31, 2024 | 1.31 Mn |
| Sep 30, 2024 | 1.29 Mn |
| Jun 30, 2024 | 1.28 Mn |
| Mar 31, 2024 | 1.26 Mn |
| Dec 31, 2023 | 1.19 Mn |
| Sep 30, 2023 | 1.17 Mn |
| Jun 30, 2023 | 1.16 Mn |
| Mar 31, 2023 | 1.14 Mn |
| Dec 31, 2022 | 1.12 Mn |
| Sep 30, 2022 | 1.11 Mn |
| Jun 30, 2022 | 910,000.00 |
| Mar 31, 2022 | 942,000.00 |
| Dec 31, 2021 | 724,000.00 |
| Jun 30, 2019 | 1.58 Mn |
API Access
Everspin Technologies Current Leases 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=current-leases&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-leases", "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=current-leases&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();