Everspin Technologies (MRAM) Total Liabilities (2015 - 2026)
Everspin Technologies' Total Liabilities was $16.29 million in Q2 2026, up 9.7% from $14.85 million a year earlier and up 25.8% from the prior quarter.
Powered by 
Analysis
Everspin Technologies (MRAM) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Everspin Technologies came in at $15.69 million, up 3.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $15.2 million in FY2024 (+13.6%), $13.38 million in FY2023 (-19.7%), $16.67 million in FY2022 (+37.3%) and $12.14 million in FY2021 (-19.7%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities since Q1 2025.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 18.0%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2025 (growth of 65.7%); the worst was Q3 2023 (a decline of 25.8%).
- Per Business Quant data, MRAM's Total Liabilities in the three quarters before Q2 2026 was $12.95 million (Q1 2026), $15.69 million (Q4 2025) and $14.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 16.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.29 Mn |
| Mar 31, 2026 | 12.95 Mn |
| Dec 31, 2025 | 15.69 Mn |
| Sep 30, 2025 | 14.45 Mn |
| Jun 30, 2025 | 14.85 Mn |
| Mar 31, 2025 | 17.20 Mn |
| Dec 31, 2024 | 15.20 Mn |
| Sep 30, 2024 | 13.33 Mn |
| Jun 30, 2024 | 9.14 Mn |
| Mar 31, 2024 | 10.38 Mn |
| Dec 31, 2023 | 13.38 Mn |
| Sep 30, 2023 | 12.64 Mn |
| Jun 30, 2023 | 11.20 Mn |
| Mar 31, 2023 | 11.76 Mn |
| Dec 31, 2022 | 16.67 Mn |
| Sep 30, 2022 | 17.04 Mn |
| Jun 30, 2022 | 12.55 Mn |
| Mar 31, 2022 | 12.61 Mn |
| Dec 31, 2021 | 12.14 Mn |
| Sep 30, 2021 | 13.58 Mn |
API Access
Everspin Technologies Total Liabilities 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=total-liabilities&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();