Super Micro Computer (SMCI) Long-Term Debt Repayments (2010 - 2026)
Super Micro Computer's Long-Term Debt Repayments was $295.44 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 692.4% from $37.28 million a year earlier and up 190.6% from the prior quarter.
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Analysis
Super Micro Computer (SMCI) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Long-Term Debt Repayments at Super Micro Computer came in at $520.51 million, down 70.6% from FY2025.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 53.7% (FY2021 to FY2026).
- In earlier fiscal years, Long-Term Debt Repayments was $1.77 billion in FY2025 (-10.1%), $1.97 billion in FY2024 (+41.1%), $1.39 billion in FY2023 (+117.6%) and $640.7 million in FY2022 (+956.7%).
- The fiscal Q4 2026 figure marks the highest quarterly Long-Term Debt Repayments since fiscal Q2 2025.
- Compared with a year earlier, Long-Term Debt Repayments was higher in three of the last eight quarters, with growth averaging 137.3%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was fiscal Q1 2025 (growth of 696.2%); the worst was fiscal Q1 2026 (a decline of 99.0%).
- Per Business Quant data, SMCI's Long-Term Debt Repayments in the three fiscal quarters before Q4 2026 was $101.68 million (Q3 2026), $111.85 million (Q2 2026) and $11.54 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 232.00 Mn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 4.40 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 1.02 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | - |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | - |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | -67.19 Mn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 300.00 Mn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 1.32 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 1.32 Bn |
| 10 | Super Micro Computer | 19.31 Bn | 2.21 Bn | 1.94 Bn | 295.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 295.44 Mn |
| Mar 31, 2026 | 101.68 Mn |
| Dec 31, 2025 | 111.85 Mn |
| Sep 30, 2025 | 11.54 Mn |
| Jun 30, 2025 | 37.28 Mn |
| Mar 31, 2025 | 157.31 Mn |
| Dec 31, 2024 | 467.88 Mn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 27.96 Mn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 638.05 Mn |
| Sep 30, 2023 | 138.94 Mn |
| Jun 30, 2023 | 823.95 Mn |
| Mar 31, 2023 | 5.78 Mn |
| Dec 31, 2022 | 149.93 Mn |
| Sep 30, 2022 | 414.74 Mn |
| Jun 30, 2022 | 159.90 Mn |
| Mar 31, 2022 | 113.50 Mn |
| Dec 31, 2021 | 277.82 Mn |
| Sep 30, 2021 | 89.48 Mn |
API Access
Super Micro Computer 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=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SMCI", "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=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();