Super Micro Computer (SMCI) Research & Development (2010 - 2026)
Super Micro Computer (SMCI) recorded Research & Development of $201.5 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 10.0% from $183.22 million a year earlier but down 6.6% from the prior quarter.
Super Micro Computer (SMCI) Research & Development (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer reported Research & Development of $771.23 million, up 21.2% from FY2025.
- Annual Research & Development has increased for 16 straight fiscal years, with a five-year compound annual growth rate of 28.0% (FY2021 to FY2026).
- Across earlier fiscal years, Research & Development came in at $636.55 million in FY2025 (+37.3%), $463.55 million in FY2024 (+50.9%), $307.26 million in FY2023 (+12.8%) and $272.27 million in FY2022 (+21.4%).
- Quarterly Research & Development has ranged from $65.14 million in fiscal Q1 2022 to $215.66 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Research & Development has increased for 20 consecutive quarters, with growth averaging 29.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 8.0% in fiscal Q2 2023 to 53.9% in fiscal Q2 2024.
- Per Business Quant, the preceding three fiscal quarters came in at $215.66 million (Q3 2026), $180.76 million (Q2 2026) and $173.31 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,973.78 Bn | 4,721.27 Bn | 54.77 Bn | 11.73 Bn |
| 2 | Cisco Systems | 421.43 Bn | 357.36 Bn | 11.06 Bn | 2.43 Bn |
| 3 | Dell Technologies | 298.89 Bn | 254.64 Bn | 9.83 Bn | 1.11 Bn |
| 4 | Arista Networks | 229.17 Bn | 182.63 Bn | 1.91 Bn | 348.20 Mn |
| 5 | Sandisk | 201.24 Bn | 189.76 Bn | 7.58 Bn | 348.00 Mn |
| 6 | Sony | 150.15 Bn | 87.41 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 148.39 Bn | 143.38 Bn | 1.90 Bn | 188.00 Mn |
| 8 | Western Digital | 125.81 Bn | 113.94 Bn | 2.03 Bn | 284.00 Mn |
| 9 | Hewlett Packard Enterprise | 75.15 Bn | 53.03 Bn | 4.93 Bn | 1.16 Bn |
| 10 | Super Micro Computer | 19.63 Bn | 2.53 Bn | 1.94 Bn | 201.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 201.50 Mn |
| Mar 31, 2026 | 215.66 Mn |
| Dec 31, 2025 | 180.76 Mn |
| Sep 30, 2025 | 173.31 Mn |
| Jun 30, 2025 | 183.22 Mn |
| Mar 31, 2025 | 162.86 Mn |
| Dec 31, 2024 | 158.23 Mn |
| Sep 30, 2024 | 132.24 Mn |
| Jun 30, 2024 | 127.47 Mn |
| Mar 31, 2024 | 116.23 Mn |
| Dec 31, 2023 | 108.82 Mn |
| Sep 30, 2023 | 111.03 Mn |
| Jun 30, 2023 | 84.80 Mn |
| Mar 31, 2023 | 77.52 Mn |
| Dec 31, 2022 | 70.70 Mn |
| Sep 30, 2022 | 74.24 Mn |
| Jun 30, 2022 | 70.79 Mn |
| Mar 31, 2022 | 70.87 Mn |
| Dec 31, 2021 | 65.47 Mn |
| Sep 30, 2021 | 65.14 Mn |
Super Micro Computer Research & Development 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=research-and-development&ticker=SMCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();