Super Micro Computer (SMCI) Cash & Equivalents (2010 - 2026)
Super Micro Computer (SMCI) reported Cash & Equivalents of $7.52 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 45.5% from $5.17 billion a year earlier and up 482.9% from the prior quarter.
Super Micro Computer (SMCI) Cash & Equivalents (2010 - 2026) Analysis & Trends
Dating back to fiscal Q1 2011, Super Micro Computer's Cash & Equivalents record includes 64 quarters.
- Cash & Equivalents has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 100.3% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $5.17 billion in FY2025 (+209.5%), $1.67 billion in FY2024 (+278.8%), $440.96 million in FY2023 (+64.2%) and $268.56 million in FY2022 (+15.0%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- Year over year, Cash & Equivalents gained in seven of the last eight quarters, with growth averaging 111.7%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2024 (growth of 482.4%); the low point was fiscal Q3 2026 (a decline of 49.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $1.29 billion (Q3 2026), $4.09 billion (Q2 2026) and $4.2 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 39.54 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 7.22 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 11.57 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 2.29 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 4.76 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 13.40 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 1.70 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 1.58 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 6.22 Bn |
| 10 | Super Micro Computer | 19.31 Bn | 2.21 Bn | 1.94 Bn | 7.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.52 Bn |
| Mar 31, 2026 | 1.29 Bn |
| Dec 31, 2025 | 4.09 Bn |
| Sep 30, 2025 | 4.20 Bn |
| Jun 30, 2025 | 5.17 Bn |
| Mar 31, 2025 | 2.54 Bn |
| Dec 31, 2024 | 1.43 Bn |
| Sep 30, 2024 | 2.09 Bn |
| Jun 30, 2024 | 1.67 Bn |
| Mar 31, 2024 | 2.12 Bn |
| Dec 31, 2023 | 726.17 Mn |
| Sep 30, 2023 | 543.65 Mn |
| Jun 30, 2023 | 440.96 Mn |
| Mar 31, 2023 | 363.30 Mn |
| Dec 31, 2022 | 305.09 Mn |
| Sep 30, 2022 | 238.75 Mn |
| Jun 30, 2022 | 268.56 Mn |
| Mar 31, 2022 | 248.60 Mn |
| Dec 31, 2021 | 248.59 Mn |
| Sep 30, 2021 | 271.23 Mn |
Super Micro Computer Cash & Equivalents 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=cash-and-equivalents&ticker=SMCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();