Super Micro Computer (SMCI) Receivables (2011 - 2026)
Super Micro Computer (SMCI) posted Receivables of $6.26 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 165.5% from $2.36 billion a year earlier but down 25.6% from the prior quarter.
Super Micro Computer (SMCI) Receivables (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Super Micro Computer has reported Receivables for 58 quarters.
- Annual Receivables shows a five-year compound annual growth rate of 63.6% (FY2021 to FY2026).
- In prior fiscal years, Super Micro Computer's Receivables was $2.36 billion in FY2025 (-13.8%), $2.74 billion in FY2024 (+138.4%), $1.15 billion in FY2023 (+36.2%) and $842.91 million in FY2022 (+57.9%).
- Quarterly Receivables has run from a low of $472.07 million in fiscal Q1 2022 to a high of $11 billion in fiscal Q2 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last three quarters, with growth averaging 126.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q2 2026, with growth of 259.7%; the weakest was fiscal Q4 2025, with a decline of 13.8%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $8.41 billion (Q3 2026), $11 billion (Q2 2026) and $2.53 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,974.21 Bn | 4,721.70 Bn | 54.77 Bn | 58.91 Bn |
| 2 | Cisco Systems | 421.77 Bn | 357.70 Bn | 11.06 Bn | 9.40 Bn |
| 3 | Dell Technologies | 298.63 Bn | 254.39 Bn | 9.83 Bn | 22.92 Bn |
| 4 | Arista Networks | 229.37 Bn | 182.82 Bn | 1.91 Bn | 2.27 Bn |
| 5 | Sandisk | 201.13 Bn | 189.65 Bn | 7.58 Bn | 63.41 Bn |
| 6 | Sony | 150.09 Bn | 87.35 Bn | 6.53 Bn | - |
| 7 | Seagate Technology Holdings | 148.04 Bn | 143.04 Bn | 1.90 Bn | 1.66 Bn |
| 8 | Western Digital | 125.55 Bn | 113.68 Bn | 2.03 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 75.07 Bn | 52.95 Bn | 4.93 Bn | 6.57 Bn |
| 10 | Super Micro Computer | 19.63 Bn | 2.53 Bn | 1.94 Bn | 6.26 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.26 Bn |
| Mar 31, 2026 | 8.41 Bn |
| Dec 31, 2025 | 11.00 Bn |
| Sep 30, 2025 | 2.53 Bn |
| Jun 30, 2025 | 2.36 Bn |
| Mar 31, 2025 | 2.64 Bn |
| Dec 31, 2024 | 3.06 Bn |
| Sep 30, 2024 | 2.73 Bn |
| Jun 30, 2024 | 2.74 Bn |
| Mar 31, 2024 | 1.65 Bn |
| Dec 31, 2023 | 1.50 Bn |
| Sep 30, 2023 | 845.73 Mn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 674.09 Mn |
| Dec 31, 2022 | 773.39 Mn |
| Sep 30, 2022 | 746.56 Mn |
| Jun 30, 2022 | 842.91 Mn |
| Mar 31, 2022 | 713.87 Mn |
| Dec 31, 2021 | 531.96 Mn |
| Sep 30, 2021 | 472.07 Mn |
Super Micro Computer Receivables 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=receivables&ticker=SMCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();