Everspin Technologies (MRAM) Inventory (2015 - 2026)
Everspin Technologies' Inventory was $13.96 million in Q3 2026, up 18.1% from $11.82 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Inventory (2015 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Everspin Technologies came in at $10.73 million, up 17.8% from FY2024.
- Inventory has now increased for five consecutive years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In earlier years, Inventory was $9.11 million in FY2024 (+8.6%), $8.39 million in FY2023 (+25.6%), $6.68 million in FY2022 (+4.5%) and $6.4 million in FY2021 (+11.8%).
- The Q3 2026 figure marks the highest quarterly Inventory in data going back to Q4 2015.
- Compared with a year earlier, Inventory has increased for eight straight quarters, with growth averaging 22.6% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was Q2 2025 (growth of 41.6%); the worst was Q2 2022 (a decline of 3.0%).
- Per Business Quant data, MRAM's Inventory in the three quarters before Q3 2026 was $13.09 million (Q2 2026), $11.26 million (Q1 2026) and $10.73 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 11.67 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 13.43 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 31.58 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 4.52 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 10.37 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 11.46 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 13.43 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 13.07 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 6.89 Bn |
| 10 | Everspin Technologies | 299.12 Mn | 127.24 Mn | 10.61 Mn | 13.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.96 Mn |
| Jun 30, 2026 | 13.09 Mn |
| Mar 31, 2026 | 11.26 Mn |
| Dec 31, 2025 | 10.73 Mn |
| Sep 30, 2025 | 11.82 Mn |
| Jun 30, 2025 | 11.31 Mn |
| Mar 31, 2025 | 10.99 Mn |
| Dec 31, 2024 | 9.11 Mn |
| Sep 30, 2024 | 8.44 Mn |
| Jun 30, 2024 | 7.99 Mn |
| Mar 31, 2024 | 8.05 Mn |
| Dec 31, 2023 | 8.39 Mn |
| Sep 30, 2023 | 8.64 Mn |
| Jun 30, 2023 | 7.35 Mn |
| Mar 31, 2023 | 6.28 Mn |
| Dec 31, 2022 | 6.68 Mn |
| Sep 30, 2022 | 7.86 Mn |
| Jun 30, 2022 | 6.38 Mn |
| Mar 31, 2022 | 6.21 Mn |
| Dec 31, 2021 | 6.40 Mn |
API Access
Everspin Technologies Inventory 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=inventory&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();