Super Micro Computer (SMCI) Raw Materials (2012 - 2026)
Super Micro Computer (SMCI) reported Raw Materials of $942.05 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 74.3% from $540.41 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Super Micro Computer (SMCI) Raw Materials (2012 - 2026) Analysis & Trends
Dating back to fiscal Q4 2012, Super Micro Computer's Raw Materials record includes 53 quarters.
- Raw Materials has a five-year compound annual growth rate of 36.5% (FY2021 to FY2026).
- By fiscal year, Raw Materials came in at $540.41 million in FY2025 (-5.1%), $569.27 million in FY2024 (+73.3%), $328.51 million in FY2023 (+5.8%) and $310.48 million in FY2022 (+56.2%).
- Five-year quarterly Raw Materials spans a low of $229.99 million in fiscal Q1 2022 and a high of $957.78 million in fiscal Q3 2026.
- Year over year, Raw Materials has now increased in each of the last three quarters, with growth averaging 38.0% over the last eight quarters.
- The high point for year-over-year Raw Materials in five years was fiscal Q3 2022 (growth of 128.2%); the low point was fiscal Q3 2023 (a decline of 10.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $957.78 million (Q3 2026), $753.3 million (Q2 2026) and $593.07 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,970.91 Bn | 4,718.40 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.07 Bn | 357.00 Bn | 11.06 Bn |
| 3 | Dell Technologies | 298.71 Bn | 254.47 Bn | 9.83 Bn |
| 4 | Arista Networks | 228.80 Bn | 182.25 Bn | 1.91 Bn |
| 5 | Sandisk | 201.47 Bn | 190.00 Bn | 7.58 Bn |
| 6 | Sony | 150.09 Bn | 87.35 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 148.38 Bn | 143.37 Bn | 1.90 Bn |
| 8 | Western Digital | 125.70 Bn | 113.83 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 75.35 Bn | 53.23 Bn | 4.93 Bn |
| 10 | Super Micro Computer | 19.69 Bn | 2.59 Bn | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 942.05 Mn |
| Mar 31, 2026 | 957.78 Mn |
| Dec 31, 2025 | 753.30 Mn |
| Sep 30, 2025 | 593.07 Mn |
| Jun 30, 2025 | 540.41 Mn |
| Mar 31, 2025 | 545.80 Mn |
| Dec 31, 2024 | 547.53 Mn |
| Sep 30, 2024 | 613.22 Mn |
| Jun 30, 2024 | 569.27 Mn |
| Mar 31, 2024 | 499.36 Mn |
| Dec 31, 2023 | 384.39 Mn |
| Sep 30, 2023 | 354.12 Mn |
| Jun 30, 2023 | 328.51 Mn |
| Mar 31, 2023 | 304.94 Mn |
| Dec 31, 2022 | 293.93 Mn |
| Sep 30, 2022 | 306.15 Mn |
| Jun 30, 2022 | 310.48 Mn |
| Mar 31, 2022 | 341.11 Mn |
| Dec 31, 2021 | 249.56 Mn |
| Sep 30, 2021 | 229.99 Mn |
API Access
Super Micro Computer Raw Materials 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=raw-materials&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();