Everspin Technologies (MRAM) Total Non-Current Liabilities (2016 - 2026)
Everspin Technologies (MRAM) posted Total Non-Current Liabilities of $16.02 million for Q2 2026, up 9.8% from $14.59 million a year earlier and up 26.4% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Everspin Technologies' Total Non-Current Liabilities came in at $15.42 million, up 2.6% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- In prior years, Everspin Technologies' Total Non-Current Liabilities was $15.03 million in FY2024 (+14.2%), $13.17 million in FY2023 (-20.0%), $16.46 million in FY2022 (+38.0%) and $11.93 million in FY2021 (-19.9%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 17.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2025, with growth of 65.5%; the weakest was Q3 2023, with a decline of 26.2%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $12.68 million (Q1 2026), $15.42 million (Q4 2025) and $14.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 16.48 Bn |
| 10 | Everspin Technologies | 457.03 Mn | 282.93 Mn | 10.10 Mn | 16.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.02 Mn |
| Mar 31, 2026 | 12.68 Mn |
| Dec 31, 2025 | 15.42 Mn |
| Sep 30, 2025 | 14.18 Mn |
| Jun 30, 2025 | 14.59 Mn |
| Mar 31, 2025 | 16.91 Mn |
| Dec 31, 2024 | 15.03 Mn |
| Sep 30, 2024 | 13.17 Mn |
| Jun 30, 2024 | 8.98 Mn |
| Mar 31, 2024 | 10.22 Mn |
| Dec 31, 2023 | 13.17 Mn |
| Sep 30, 2023 | 12.42 Mn |
| Jun 30, 2023 | 10.98 Mn |
| Mar 31, 2023 | 11.55 Mn |
| Dec 31, 2022 | 16.46 Mn |
| Sep 30, 2022 | 16.83 Mn |
| Jun 30, 2022 | 12.34 Mn |
| Mar 31, 2022 | 12.39 Mn |
| Dec 31, 2021 | 11.93 Mn |
| Sep 30, 2021 | 13.35 Mn |
API Access
Everspin Technologies Total Non-Current 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-non-current-liabilities&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();