Super Micro Computer (SMCI) EBIT (2010 - 2026)
Super Micro Computer (SMCI) posted EBIT of $1.49 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 551.5% from $228.39 million a year earlier and up 137.8% from the prior quarter.
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Analysis
Super Micro Computer (SMCI) EBIT (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer's EBIT came in at $2.77 billion, up 121.1% from FY2025.
- Annual EBIT has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 86.2% (FY2021 to FY2026).
- In prior fiscal years, Super Micro Computer's EBIT was $1.25 billion in FY2025 (+3.5%), $1.21 billion in FY2024 (+59.1%), $761.14 million in FY2023 (+127.1%) and $335.17 million in FY2022 (+170.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly EBIT in data going back to fiscal Q1 2011.
- On a year-over-year basis, EBIT has increased in each of the last three quarters, with growth averaging 119.3% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was fiscal Q1 2023, with growth of 655.7%; the weakest was fiscal Q1 2026, with a decline of 64.2%.
- According to Business Quant data, EBIT for the three prior fiscal quarters was $625.87 million (Q3 2026), $474.3 million (Q2 2026) and $182.26 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,997.51 Bn | 4,745.00 Bn | 54.77 Bn | 35.70 Bn |
| 2 | Cisco Systems | 417.08 Bn | 353.01 Bn | 11.06 Bn | 4.26 Bn |
| 3 | Dell Technologies | 284.92 Bn | 240.68 Bn | 9.83 Bn | 5.39 Bn |
| 4 | Arista Networks | 224.81 Bn | 178.26 Bn | 1.91 Bn | 1.38 Bn |
| 5 | Sandisk | 197.85 Bn | 186.37 Bn | 7.58 Bn | 7.04 Bn |
| 6 | Sony | 149.61 Bn | 86.87 Bn | 6.53 Bn | 2.99 Bn |
| 7 | Seagate Technology Holdings | 142.29 Bn | 137.28 Bn | 1.90 Bn | 1.56 Bn |
| 8 | Western Digital | 119.99 Bn | 108.12 Bn | 2.03 Bn | 1.56 Bn |
| 9 | Hewlett Packard Enterprise | 72.63 Bn | 50.51 Bn | 4.93 Bn | 1.39 Bn |
| 10 | Super Micro Computer | 18.68 Bn | 1.58 Bn | 1.94 Bn | 1.49 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.49 Bn |
| Mar 31, 2026 | 625.87 Mn |
| Dec 31, 2025 | 474.30 Mn |
| Sep 30, 2025 | 182.26 Mn |
| Jun 30, 2025 | 228.39 Mn |
| Mar 31, 2025 | 146.78 Mn |
| Dec 31, 2024 | 368.62 Mn |
| Sep 30, 2024 | 509.20 Mn |
| Jun 30, 2024 | 288.49 Mn |
| Mar 31, 2024 | 378.31 Mn |
| Dec 31, 2023 | 371.46 Mn |
| Sep 30, 2023 | 172.51 Mn |
| Jun 30, 2023 | 226.76 Mn |
| Mar 31, 2023 | 99.08 Mn |
| Dec 31, 2022 | 215.18 Mn |
| Sep 30, 2022 | 220.12 Mn |
| Jun 30, 2022 | 165.21 Mn |
| Mar 31, 2022 | 89.78 Mn |
| Dec 31, 2021 | 51.05 Mn |
| Sep 30, 2021 | 29.13 Mn |
API Access
Super Micro Computer EBIT 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=ebit&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();