Super Micro Computer (SMCI) Cost of Revenue (2010 - 2026)
Super Micro Computer (SMCI) posted Cost of Revenue of $9.18 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 76.0% from $5.21 billion a year earlier but down 0.5% from the prior quarter.
Super Micro Computer (SMCI) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer's Cost of Revenue came in at $34.84 billion, up 78.3% from FY2025.
- Annual Cost of Revenue has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 63.1% (FY2021 to FY2026).
- In prior fiscal years, Super Micro Computer's Cost of Revenue was $19.54 billion in FY2025 (+51.2%), $12.93 billion in FY2024 (+121.3%), $5.84 billion in FY2023 (+32.9%) and $4.4 billion in FY2022 (+45.4%).
- Quarterly Cost of Revenue has run from a low of $894.59 million in fiscal Q1 2022 to a high of $11.88 billion in fiscal Q2 2026 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last three quarters, with growth averaging 76.7% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q3 2024, with growth of 207.7%; the weakest was fiscal Q1 2026, with a decline of 11.8%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $9.22 billion (Q3 2026), $11.88 billion (Q2 2026) and $4.55 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,079.97 Bn | 4,827.46 Bn | 54.77 Bn | 54.65 Bn |
| 2 | Cisco Systems | 420.25 Bn | 356.18 Bn | 11.06 Bn | 6.19 Bn |
| 3 | Dell Technologies | 292.20 Bn | 247.96 Bn | 9.83 Bn | 37.14 Bn |
| 4 | Arista Networks | 217.24 Bn | 170.70 Bn | 1.91 Bn | 1.13 Bn |
| 5 | Sandisk | 180.75 Bn | 169.27 Bn | 7.58 Bn | 1.38 Bn |
| 6 | Sony | 160.45 Bn | 100.21 Bn | 6.53 Bn | 11.27 Bn |
| 7 | Seagate Technology Holdings | 142.99 Bn | 137.98 Bn | 1.90 Bn | 1.73 Bn |
| 8 | Western Digital | 128.64 Bn | 118.47 Bn | 2.53 Bn | 1.85 Bn |
| 9 | Hewlett Packard Enterprise | 75.30 Bn | 53.18 Bn | 4.93 Bn | 7.29 Bn |
| 10 | Super Micro Computer | 21.64 Bn | 4.54 Bn | 1.94 Bn | 9.18 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.18 Bn |
| Mar 31, 2026 | 9.22 Bn |
| Dec 31, 2025 | 11.88 Bn |
| Sep 30, 2025 | 4.55 Bn |
| Jun 30, 2025 | 5.21 Bn |
| Mar 31, 2025 | 4.16 Bn |
| Dec 31, 2024 | 5.01 Bn |
| Sep 30, 2024 | 5.16 Bn |
| Jun 30, 2024 | 4.81 Bn |
| Mar 31, 2024 | 3.25 Bn |
| Dec 31, 2023 | 3.10 Bn |
| Sep 30, 2023 | 1.77 Bn |
| Jun 30, 2023 | 1.81 Bn |
| Mar 31, 2023 | 1.06 Bn |
| Dec 31, 2022 | 1.47 Bn |
| Sep 30, 2022 | 1.50 Bn |
| Jun 30, 2022 | 1.35 Bn |
| Mar 31, 2022 | 1.14 Bn |
| Dec 31, 2021 | 1.01 Bn |
| Sep 30, 2021 | 894.59 Mn |
Super Micro Computer Cost of Revenue 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=cost-of-revenue&ticker=SMCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();