Everspin Technologies (MRAM) Change in Inventory (2015 - 2026)
Everspin Technologies (MRAM) recorded Change in Inventory of $874,000 in Q3 2026, up 70.4% from $513,000 a year earlier but down 52.2% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Change in Inventory (2015 - 2026) Analysis & Trends
On a TTM basis, Everspin Technologies' Change in Inventory came in at $2.14 million as of Sep 30, 2026, down 36.6% year-over-year; for FY2025, it came in at $1.62 million, up 125.9% from FY2024.
- Across earlier years, Change in Inventory came in at $719,000 in FY2024 (-57.9%), $1.71 million in FY2023 (+495.1%), $287,000 in FY2022 (-57.5%) and $675,000 in FY2021.
- Quarterly Change in Inventory has ranged from -$1.18 million in Q4 2022 to $1.88 million in Q1 2025 over the past five years.
- On a year-over-year basis, Change in Inventory rose in three of the last four quarters, with growth averaging 123.0%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 534.5% in Q2 2023, against a decline of 86.2% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.83 million (Q2 2026), $521,000 (Q1 2026) and -$1.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | -1.32 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 5.78 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -2.25 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 1.81 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 3.00 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 576.00 Mn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Everspin Technologies | 299.12 Mn | 127.24 Mn | 10.61 Mn | 874,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 874,000.00 |
| Jun 30, 2026 | 1.83 Mn |
| Mar 31, 2026 | 521,000.00 |
| Dec 31, 2025 | -1.09 Mn |
| Sep 30, 2025 | 513,000.00 |
| Jun 30, 2025 | 315,000.00 |
| Mar 31, 2025 | 1.88 Mn |
| Dec 31, 2024 | 669,000.00 |
| Sep 30, 2024 | 454,000.00 |
| Jun 30, 2024 | -66,000.00 |
| Mar 31, 2024 | -338,000.00 |
| Dec 31, 2023 | -246,000.00 |
| Sep 30, 2023 | 1.29 Mn |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | -404,000.00 |
| Dec 31, 2022 | -1.18 Mn |
| Sep 30, 2022 | 1.49 Mn |
| Jun 30, 2022 | 168,000.00 |
| Mar 31, 2022 | -188,000.00 |
| Dec 31, 2021 | -272,000.00 |
API Access
Everspin Technologies Change in 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=change-in-inventory&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();