Everspin Technologies (MRAM) Long-Term Debt Repayments (2015 - 2026)
Everspin Technologies (MRAM) recorded Long-Term Debt Repayments of $16,000 in Q3 2026, unchanged from $16,000 a year earlier and down 5.9% from the prior quarter.
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Analysis
Everspin Technologies (MRAM) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
On a TTM basis, Everspin Technologies' Long-Term Debt Repayments came in at $66,000 as of Sep 30, 2026, down 43.1% year-over-year; for FY2025, it came in at $67,000, up 1.5% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 49.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $66,000 in FY2024 (-97.6%), $2.8 million in FY2023 (+16.2%), $2.41 million in FY2022 (-29.1%) and $3.4 million in FY2021.
- Quarterly Long-Term Debt Repayments has ranged from -$28,000 in Q3 2024 to $2.79 million in Q1 2023 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in 1 of the last six quarters, with growth averaging 2.9%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 566.7% in Q2 2024, against a decline of 99.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $17,000 (Q2 2026), $16,000 (Q1 2026) and $17,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | -3.20 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | -8.18 Mn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | -10.53 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 663.00 Mn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | - |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 119.00 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 | 16,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16,000.00 |
| Jun 30, 2026 | 17,000.00 |
| Mar 31, 2026 | 16,000.00 |
| Dec 31, 2025 | 17,000.00 |
| Sep 30, 2025 | 16,000.00 |
| Jun 30, 2025 | 17,000.00 |
| Mar 31, 2025 | 17,000.00 |
| Dec 31, 2024 | 66,000.00 |
| Sep 30, 2024 | -28,000.00 |
| Jun 30, 2024 | 20,000.00 |
| Mar 31, 2024 | 8,000.00 |
| Dec 31, 2023 | 3,000.00 |
| Sep 30, 2023 | 3,000.00 |
| Jun 30, 2023 | 3,000.00 |
| Mar 31, 2023 | 2.79 Mn |
| Dec 31, 2022 | 603,000.00 |
| Sep 30, 2022 | 603,000.00 |
| Jun 30, 2022 | 603,000.00 |
| Mar 31, 2022 | 602,000.00 |
| Dec 31, 2021 | 600,000.00 |
API Access
Everspin Technologies Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MRAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MRAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();