Super Micro Computer (SMCI) Interest Expenses (2010 - 2026)
Super Micro Computer (SMCI) recorded Interest Expenses of $79.8 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 258.1% from $22.28 million a year earlier and up 23.8% from the prior quarter.
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Analysis
Super Micro Computer (SMCI) Interest Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer reported Interest Expenses of $194.57 million, up 226.6% from FY2025.
- Annual Interest Expenses has increased for six straight fiscal years, with a five-year compound annual growth rate of 139.2% (FY2021 to FY2026).
- Across earlier fiscal years, Interest Expenses came in at $59.57 million in FY2025 (+207.8%), $19.35 million in FY2024 (+84.5%), $10.49 million in FY2023 (+63.6%) and $6.41 million in FY2022 (+158.1%).
- The fiscal Q4 2026 figure is the highest quarterly Interest Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Interest Expenses has increased for six consecutive quarters, with growth averaging 314.2% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 831.5% in fiscal Q1 2025, against a decline of 52.7% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $64.48 million (Q3 2026), $25.36 million (Q2 2026) and $24.93 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn | 373.00 Mn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn | - |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn | 2.00 Mn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn | 64.00 Mn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn | 147.26 Mn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn | 14.00 Mn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn | - |
| 10 | Super Micro Computer | 21.39 Bn | 4.29 Bn | 1.94 Bn | 79.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.80 Mn |
| Mar 31, 2026 | 64.48 Mn |
| Dec 31, 2025 | 25.36 Mn |
| Sep 30, 2025 | 24.93 Mn |
| Jun 30, 2025 | 22.28 Mn |
| Mar 31, 2025 | 13.40 Mn |
| Dec 31, 2024 | 6.54 Mn |
| Sep 30, 2024 | 17.35 Mn |
| Jun 30, 2024 | 3.11 Mn |
| Mar 31, 2024 | 6.25 Mn |
| Dec 31, 2023 | 8.13 Mn |
| Sep 30, 2023 | 1.86 Mn |
| Jun 30, 2023 | 3.51 Mn |
| Mar 31, 2023 | 1.29 Mn |
| Dec 31, 2022 | 1.76 Mn |
| Sep 30, 2022 | 3.94 Mn |
| Jun 30, 2022 | 2.93 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 1.15 Mn |
| Sep 30, 2021 | 804,000.00 |
API Access
Super Micro Computer Interest Expenses 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=interest-expenses&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();