Super Micro Computer (SMCI) Operating Expenses (2010 - 2026)
Super Micro Computer (SMCI) posted Operating Expenses of $454.57 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 44.0% from $315.71 million a year earlier and up 15.7% from the prior quarter.
Powered by 
Analysis
Super Micro Computer (SMCI) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer's Operating Expenses came in at $1.46 billion, up 23.8% from FY2025.
- Annual Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 28.8% (FY2021 to FY2026).
- In prior fiscal years, Super Micro Computer's Operating Expenses was $1.18 billion in FY2025 (+38.4%), $850.64 million in FY2024 (+63.0%), $521.87 million in FY2023 (+12.3%) and $464.83 million in FY2022 (+13.2%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses has increased in each of the last 20 quarters, with growth averaging 31.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 5.2% in fiscal Q3 2023 to 77.7% in fiscal Q4 2024.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $392.81 million (Q3 2026), $324.27 million (Q2 2026) and $285.12 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,973.70 Bn | 4,721.19 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.27 Bn | 357.20 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 297.70 Bn | 253.45 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 229.14 Bn | 182.59 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 200.83 Bn | 189.36 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 150.33 Bn | 87.59 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 147.86 Bn | 142.86 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 125.50 Bn | 113.63 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.88 Bn | 52.76 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Super Micro Computer | 19.54 Bn | 2.44 Bn | 1.94 Bn | 454.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 454.57 Mn |
| Mar 31, 2026 | 392.81 Mn |
| Dec 31, 2025 | 324.27 Mn |
| Sep 30, 2025 | 285.12 Mn |
| Jun 30, 2025 | 315.71 Mn |
| Mar 31, 2025 | 293.44 Mn |
| Dec 31, 2024 | 301.40 Mn |
| Sep 30, 2024 | 266.38 Mn |
| Jun 30, 2024 | 257.54 Mn |
| Mar 31, 2024 | 219.05 Mn |
| Dec 31, 2023 | 192.86 Mn |
| Sep 30, 2023 | 181.18 Mn |
| Jun 30, 2023 | 144.94 Mn |
| Mar 31, 2023 | 127.28 Mn |
| Dec 31, 2022 | 122.24 Mn |
| Sep 30, 2022 | 127.41 Mn |
| Jun 30, 2022 | 122.13 Mn |
| Mar 31, 2022 | 121.00 Mn |
| Dec 31, 2021 | 112.69 Mn |
| Sep 30, 2021 | 109.01 Mn |
API Access
Super Micro Computer 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=operating-expenses&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();