Super Micro Computer (SMCI) Change in Accured Expenses (2010 - 2026)
Super Micro Computer (SMCI) recorded Change in Accured Expenses of $173.28 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 21.1% from $219.69 million a year earlier and down 36.4% from the prior quarter.
Powered by 
Analysis
Super Micro Computer (SMCI) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer reported Change in Accured Expenses of $406.2 million, up 49.1% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 75.1% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $272.4 million in FY2025 (+193.1%), $92.94 million in FY2024, -$50.31 million in FY2023 and $35.89 million in FY2022 (+45.3%).
- Quarterly Change in Accured Expenses has ranged from -$259.35 million in fiscal Q1 2026 to $272.58 million in fiscal Q3 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $272.58 million (Q3 2026), $219.69 million (Q2 2026) and -$259.35 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 789.00 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 | - |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 304.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 182.00 Mn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 50.00 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 | 173.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 173.28 Mn |
| Mar 31, 2026 | 272.58 Mn |
| Dec 31, 2025 | 219.69 Mn |
| Sep 30, 2025 | -259.35 Mn |
| Jun 30, 2025 | 219.69 Mn |
| Mar 31, 2025 | 112.37 Mn |
| Dec 31, 2024 | -85.63 Mn |
| Sep 30, 2024 | 25.97 Mn |
| Jun 30, 2024 | -31.00 Mn |
| Mar 31, 2024 | 74.96 Mn |
| Dec 31, 2023 | 62.00 Mn |
| Sep 30, 2023 | -13.02 Mn |
| Jun 30, 2023 | 12.33 Mn |
| Mar 31, 2023 | -18.55 Mn |
| Dec 31, 2022 | -44.10 Mn |
| Sep 30, 2022 | 8,000.00 |
| Jun 30, 2022 | 31.25 Mn |
| Mar 31, 2022 | 7.15 Mn |
| Dec 31, 2021 | -1.18 Mn |
| Sep 30, 2021 | -1.33 Mn |
API Access
Super Micro Computer Change in Accured Expenses 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-accured-expenses&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();