Data I (DAIO) Price to Earnings (2011 - 2023)
Data I's (DAIO) Price to Earnings came in at 54.57 for Q4 2023, up 35.3% from the prior quarter.
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Analysis
Data I (DAIO) Price to Earnings (2011 - 2023) Analysis & Trends
Since Q1 2011, Data I has reported Price to Earnings for 13 quarters.
- Quarterly Price to Earnings has run from a low of 0.03 in Q1 2019 to a high of 55.13 in Q1 2023 over five years.
- According to Business Quant data, Price to Earnings for the three prior quarters was 40.34 (Q3 2023), 22.08 (Q2 2023) and 55.13 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn |
| 10 | Data I | 30.56 Mn | 30.56 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 54.57 |
| Sep 30, 2023 | 40.34 |
| Jun 30, 2023 | 22.08 |
| Mar 31, 2023 | 55.13 |
| Jun 30, 2019 | 0.03 |
| Mar 31, 2019 | 0.03 |
| Dec 31, 2018 | 25.96 |
| Sep 30, 2018 | 39.98 |
| Jun 30, 2018 | 387.80 |
| Dec 31, 2011 | 32.43 |
| Sep 30, 2011 | 23.02 |
| Jun 30, 2011 | 22.56 |
| Mar 31, 2011 | 19.24 |
API Access
Data I Price to Earnings 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=price-to-earnings&ticker=DAIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DAIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();