Super Micro Computer (SMCI) EBITDA (2010 - 2024)
Super Micro Computer's EBITDA came in at $388.71 million for fiscal Q3 2024 (quarter ended Mar 31, 2024), up 260.5% from $107.82 million a year earlier and up 2.0% from the prior quarter.
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Analysis
Super Micro Computer (SMCI) EBITDA (2010 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, Super Micro Computer reported EBITDA of $1.19 billion, up 61.8% year-over-year; for FY2023 (ended Jun 30, 2023), it was $796.05 million, up 116.5% from FY2022.
- EBITDA has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 46.9% (FY2018 to FY2023).
- Going back by fiscal year, EBITDA was $367.64 million in FY2022 (+141.7%), $152.13 million in FY2021 (+33.3%), $114.13 million in FY2020 (-6.0%) and $121.44 million in FY2019 (+4.2%).
- The fiscal Q3 2024 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- Year-over-year, EBITDA increased in seven of the last eight quarters, with growth averaging 179.4%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q1 2023 (growth of 523.5%), and the weakest in fiscal Q4 2020 (a decline of 53.2%).
- Business Quant data shows SMCI's EBITDA at $381.08 million (Q2 2024), $181.67 million (Q1 2024) and $235.73 million (Q4 2023) in the three fiscal quarters before Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,015.76 Bn | 4,763.25 Bn | 54.77 Bn | 39.02 Bn |
| 2 | Cisco Systems | 422.06 Bn | 357.99 Bn | 11.06 Bn | 4.90 Bn |
| 3 | Dell Technologies | 299.09 Bn | 254.85 Bn | 9.83 Bn | 6.14 Bn |
| 4 | Arista Networks | 229.00 Bn | 182.45 Bn | 1.91 Bn | 1.40 Bn |
| 5 | Sandisk | 202.48 Bn | 191.00 Bn | 7.58 Bn | 7.08 Bn |
| 6 | Sony | 149.61 Bn | 86.87 Bn | 6.53 Bn | 4.56 Bn |
| 7 | Seagate Technology Holdings | 147.93 Bn | 142.93 Bn | 1.90 Bn | 1.63 Bn |
| 8 | Western Digital | 123.48 Bn | 111.61 Bn | 2.03 Bn | 1.66 Bn |
| 9 | Hewlett Packard Enterprise | 75.12 Bn | 53.00 Bn | 4.93 Bn | 2.26 Bn |
| 10 | Super Micro Computer | 19.48 Bn | 2.38 Bn | 1.94 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 388.71 Mn |
| Dec 31, 2023 | 381.08 Mn |
| Sep 30, 2023 | 181.67 Mn |
| Jun 30, 2023 | 235.73 Mn |
| Mar 31, 2023 | 107.82 Mn |
| Dec 31, 2022 | 223.83 Mn |
| Sep 30, 2022 | 228.67 Mn |
| Jun 30, 2022 | 173.64 Mn |
| Mar 31, 2022 | 98.15 Mn |
| Dec 31, 2021 | 59.18 Mn |
| Sep 30, 2021 | 36.68 Mn |
| Jun 30, 2021 | 45.96 Mn |
| Mar 31, 2021 | 23.93 Mn |
| Dec 31, 2020 | 44.28 Mn |
| Sep 30, 2020 | 37.96 Mn |
| Jun 30, 2020 | 16.93 Mn |
| Mar 31, 2020 | 22.63 Mn |
| Dec 31, 2019 | 34.88 Mn |
| Sep 30, 2019 | 39.69 Mn |
| Jun 30, 2019 | 36.16 Mn |
API Access
Super Micro Computer EBITDA 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=ebitda&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();