Data I (DAIO) EV to EBITDA (2011 - 2024)
Data I's EV to EBITDA was 278.43 in Q1 2024, compared with 23.52 a year earlier.
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Analysis
Data I (DAIO) EV to EBITDA (2011 - 2024) Analysis & Trends
On a trailing twelve-month basis, Data I's EV to EBITDA was -229.71 through Mar 31, 2024; for FY2023, it was 13.43.
- In earlier years, EV to EBITDA was 64.85 in FY2021.
- The Q1 2024 figure marks the highest quarterly EV to EBITDA in data going back to Q2 2011.
- Per Business Quant data, DAIO's EV to EBITDA in the three quarters before Q1 2024 was 13.43 (Q4 2023), 15.16 (Q3 2023) and 12.04 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn |
| 10 | Data I | 30.88 Mn | 30.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 278.43 |
| Dec 31, 2023 | 13.43 |
| Sep 30, 2023 | 15.16 |
| Jun 30, 2023 | 12.04 |
| Mar 31, 2023 | 23.52 |
| Dec 31, 2021 | 64.85 |
| Sep 30, 2019 | 24.10 |
| Jun 30, 2019 | -7.12 |
| Mar 31, 2019 | -6.27 |
| Dec 31, 2018 | 8.67 |
| Sep 30, 2018 | 17.54 |
| Mar 31, 2012 | 44.37 |
| Dec 31, 2011 | 6.20 |
| Sep 30, 2011 | 6.04 |
| Jun 30, 2011 | 9.34 |
API Access
Data I 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=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "DAIO", "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=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();