Super Micro Computer (SMCI) Other Operating Expenses (2010 - 2026)
Super Micro Computer (SMCI) recorded Other Operating Expenses of $142.08 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 119.5% from $64.74 million a year earlier and up 58.7% from the prior quarter.
Super Micro Computer (SMCI) Other Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer reported Other Operating Expenses of $352.59 million, up 29.1% from FY2025.
- Annual Other Operating Expenses has increased for 13 straight fiscal years, with a five-year compound annual growth rate of 32.7% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $273.14 million in FY2025 (+44.0%), $189.74 million in FY2024 (+65.0%), $115.03 million in FY2023 (+27.6%) and $90.13 million in FY2022 (+5.2%).
- The fiscal Q4 2026 figure is the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Other Operating Expenses rose in six of the last eight quarters, with growth averaging 40.2%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 119.5% in fiscal Q4 2026, against a decline of 30.4% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $89.51 million (Q3 2026), $73.08 million (Q2 2026) and $47.93 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn |
| 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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.08 Mn |
| Mar 31, 2026 | 89.51 Mn |
| Dec 31, 2025 | 73.08 Mn |
| Sep 30, 2025 | 47.93 Mn |
| Jun 30, 2025 | 64.74 Mn |
| Mar 31, 2025 | 59.98 Mn |
| Dec 31, 2024 | 79.57 Mn |
| Sep 30, 2024 | 68.85 Mn |
| Jun 30, 2024 | 55.96 Mn |
| Mar 31, 2024 | 49.69 Mn |
| Dec 31, 2023 | 46.85 Mn |
| Sep 30, 2023 | 37.23 Mn |
| Jun 30, 2023 | 31.91 Mn |
| Mar 31, 2023 | 25.31 Mn |
| Dec 31, 2022 | 28.45 Mn |
| Sep 30, 2022 | 29.36 Mn |
| Jun 30, 2022 | 24.19 Mn |
| Mar 31, 2022 | 22.36 Mn |
| Dec 31, 2021 | 21.96 Mn |
| Sep 30, 2021 | 21.62 Mn |
Super Micro Computer Other Operating 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=other-operating-expenses&ticker=SMCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();