Super Micro Computer (SMCI) Finished Goods (2012 - 2026)
Super Micro Computer's Finished Goods was $10.28 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 196.5% from $3.47 billion a year earlier and up 26.0% from the prior quarter.
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Analysis
Super Micro Computer (SMCI) Finished Goods (2012 - 2026) Analysis & Trends
From fiscal Q4 2012 onward, Super Micro Computer has reported Finished Goods for 53 quarters.
- Finished Goods has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 68.3% (FY2021 to FY2026).
- In earlier fiscal years, Finished Goods was $3.47 billion in FY2025 (+4.6%), $3.31 billion in FY2024 (+217.0%), $1.05 billion in FY2023 (+1.9%) and $1.03 billion in FY2022 (+34.6%).
- The fiscal Q4 2026 figure marks the highest quarterly Finished Goods in data going back to fiscal Q4 2012.
- Compared with a year earlier, Finished Goods has increased for five straight quarters, with growth averaging 100.4% over the last eight quarters.
- The best year-over-year quarter for Finished Goods over five years was fiscal Q4 2024 (growth of 217.0%); the worst was fiscal Q3 2025 (a decline of 3.8%).
- Per Business Quant data, SMCI's Finished Goods in the three fiscal quarters before Q4 2026 was $8.15 billion (Q3 2026), $7.51 billion (Q2 2026) and $3.88 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn |
| 10 | Super Micro Computer | 19.31 Bn | 2.21 Bn | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.28 Bn |
| Mar 31, 2026 | 8.15 Bn |
| Dec 31, 2025 | 7.51 Bn |
| Sep 30, 2025 | 3.88 Bn |
| Jun 30, 2025 | 3.47 Bn |
| Mar 31, 2025 | 2.87 Bn |
| Dec 31, 2024 | 2.67 Bn |
| Sep 30, 2024 | 3.56 Bn |
| Jun 30, 2024 | 3.31 Bn |
| Mar 31, 2024 | 2.98 Bn |
| Dec 31, 2023 | 1.57 Bn |
| Sep 30, 2023 | 1.36 Bn |
| Jun 30, 2023 | 1.05 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 972.15 Mn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 994.18 Mn |
| Dec 31, 2021 | 923.70 Mn |
| Sep 30, 2021 | 781.99 Mn |
API Access
Super Micro Computer Finished Goods 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=finished-goods&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();