Super Micro Computer (SMCI) Change in Taxes (2010 - 2026)
Super Micro Computer's Change in Taxes came in at $225.11 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 743.8% from $26.68 million a year earlier.
Powered by 
Analysis
Super Micro Computer (SMCI) Change in Taxes (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer's Change in Taxes was $213.53 million, up 566.4% from FY2025.
- Change in Taxes carries a five-year compound annual growth rate of 92.7% (FY2021 to FY2026).
- Going back by fiscal year, Change in Taxes was $32.04 million in FY2025, -$110.9 million in FY2024, $87.42 million in FY2023 (+201.4%) and $29 million in FY2022 (+260.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Change in Taxes in data going back to fiscal Q1 2011.
- Year-over-year, Change in Taxes increased in three of the last four quarters, with growth averaging 205.2%.
- The fastest year-over-year change in Change in Taxes over five years came in fiscal Q4 2026 (growth of 743.8%), and the weakest in fiscal Q2 2022 (a decline of 95.5%).
- Business Quant data shows SMCI's Change in Taxes at -$79.62 million (Q3 2026), $63.06 million (Q2 2026) and $4.98 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (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 | 38.00 Mn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | -154.50 Mn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 730.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 214.84 Mn |
| 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 | -29.00 Mn |
| 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 | 225.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 225.11 Mn |
| Mar 31, 2026 | -79.62 Mn |
| Dec 31, 2025 | 63.06 Mn |
| Sep 30, 2025 | 4.98 Mn |
| Jun 30, 2025 | 26.68 Mn |
| Mar 31, 2025 | -91.48 Mn |
| Dec 31, 2024 | 35.41 Mn |
| Sep 30, 2024 | 61.44 Mn |
| Jun 30, 2024 | -11.07 Mn |
| Mar 31, 2024 | -17.11 Mn |
| Dec 31, 2023 | -114.94 Mn |
| Sep 30, 2023 | 32.23 Mn |
| Jun 30, 2023 | 36.57 Mn |
| Mar 31, 2023 | 53.89 Mn |
| Dec 31, 2022 | -29.70 Mn |
| Sep 30, 2022 | 26.67 Mn |
| Jun 30, 2022 | 24.33 Mn |
| Mar 31, 2022 | 2.95 Mn |
| Dec 31, 2021 | 191,000.00 |
| Sep 30, 2021 | 1.53 Mn |
API Access
Super Micro Computer Change in Taxes 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=change-in-taxes&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();