Super Micro Computer (SMCI) EV to EBITDA (2011 - 2024)
Super Micro Computer's (SMCI) EV to EBITDA was 48.03 for fiscal Q3 2024 (quarter ended Mar 31, 2024), up 574.5% from 7.12 a year earlier and up 186.9% from the prior quarter.
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Analysis
Super Micro Computer (SMCI) EV to EBITDA (2011 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Super Micro Computer's EV to EBITDA came in at 46.59, up 674.7% year-over-year; for FY2023 (ended Jun 30, 2023), it was 16.01, up 219.6% from FY2022.
- By fiscal year, EV to EBITDA came in at 5.01 in FY2022 (-50.8%), 10.17 in FY2021 (-9.1%), 11.18 in FY2020 (+93.4%) and 5.78 in FY2019 (-38.0%).
- The fiscal Q3 2024 figure ranks as the highest quarterly EV to EBITDA in data going back to fiscal Q4 2011.
- Year over year, EV to EBITDA has now increased in each of the last four quarters, with growth averaging 140.5% over the last eight quarters.
- The high point for year-over-year EV to EBITDA in five years was fiscal Q3 2024 (growth of 574.5%); the low point was fiscal Q1 2023 (a decline of 54.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2024 came in at 16.74 (Q2 2024), 18.78 (Q1 2024) and 16.01 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,023.38 Bn | 4,770.87 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.72 Bn | 356.65 Bn | 11.06 Bn |
| 3 | Dell Technologies | 294.35 Bn | 250.10 Bn | 9.83 Bn |
| 4 | Arista Networks | 227.93 Bn | 181.39 Bn | 1.91 Bn |
| 5 | Sandisk | 201.48 Bn | 190.00 Bn | 7.58 Bn |
| 6 | Sony | 149.43 Bn | 86.69 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 145.90 Bn | 140.89 Bn | 1.90 Bn |
| 8 | Western Digital | 122.20 Bn | 110.33 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.35 Bn | 52.23 Bn | 4.93 Bn |
| 10 | Super Micro Computer | 19.21 Bn | 2.11 Bn | 1.94 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 48.03 |
| Dec 31, 2023 | 16.74 |
| Sep 30, 2023 | 18.78 |
| Jun 30, 2023 | 16.01 |
| Mar 31, 2023 | 7.12 |
| Dec 31, 2022 | 5.63 |
| Sep 30, 2022 | 4.78 |
| Jun 30, 2022 | 5.01 |
| Mar 31, 2022 | 7.20 |
| Dec 31, 2021 | 12.14 |
| Sep 30, 2021 | 10.59 |
| Jun 30, 2021 | 10.17 |
| Mar 31, 2021 | 14.44 |
| Dec 31, 2020 | 10.58 |
| Sep 30, 2020 | 9.47 |
| Jun 30, 2020 | 11.18 |
| Mar 31, 2020 | 5.90 |
| Dec 31, 2019 | 6.99 |
| Sep 30, 2019 | 5.60 |
| Jun 30, 2019 | 5.78 |
API Access
Super Micro Computer EV to 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=ev-to-ebitda&ticker=SMCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();