Data I (DAIO) EV to CFO (2011 - 2024)
Data I's (DAIO) EV to CFO came in at 7.47 for Q3 2024, down 35.3% from 11.55 a year earlier and down 50.7% from the prior quarter.
Analysis
Data I (DAIO) EV to CFO (2011 - 2024) Analysis & Trends
For the trailing twelve months through Sep 30, 2024, EV to CFO at Data I was -16.04; for FY2023, it was 5.84.
- In prior years, Data I's EV to CFO was 18.12 in FY2021 (-44.2%) and 32.50 in FY2020.
- Quarterly EV to CFO has run from a low of 5.73 in Q1 2020 to a high of 157.75 in Q1 2021 over five years.
- According to Business Quant data, EV to CFO for the three prior quarters was 15.16 (Q2 2024), 10.27 (Q1 2024) and 5.84 (Q4 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,040.97 Bn | 4,788.46 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.45 Bn | 360.38 Bn | 11.06 Bn |
| 3 | Dell Technologies | 313.76 Bn | 269.51 Bn | 9.83 Bn |
| 4 | Arista Networks | 232.68 Bn | 186.14 Bn | 1.91 Bn |
| 5 | Sandisk | 202.67 Bn | 191.19 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 152.82 Bn | 147.82 Bn | 1.90 Bn |
| 7 | Sony | 149.85 Bn | 87.11 Bn | 6.53 Bn |
| 8 | Western Digital | 130.59 Bn | 118.72 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 77.78 Bn | 55.65 Bn | 4.93 Bn |
| 10 | Data I | 24.65 Mn | 24.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 7.47 |
| Jun 30, 2024 | 15.16 |
| Mar 31, 2024 | 10.27 |
| Dec 31, 2023 | 5.84 |
| Sep 30, 2023 | 11.55 |
| Jun 30, 2023 | 9.19 |
| Mar 31, 2023 | 32.18 |
| Dec 31, 2021 | 18.12 |
| Sep 30, 2021 | 18.81 |
| Jun 30, 2021 | 123.81 |
| Mar 31, 2021 | 157.75 |
| Dec 31, 2020 | 32.50 |
| Mar 31, 2020 | 5.73 |
| Jun 30, 2019 | -10.40 |
| Mar 31, 2019 | -30.76 |
| Dec 31, 2018 | 11.06 |
| Sep 30, 2018 | 14.09 |
| Jun 30, 2012 | 7.10 |
| Mar 31, 2012 | 6.18 |
| Dec 31, 2011 | 5.77 |
API Access
Data I EV to CFO 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-cfo&ticker=DAIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();