Datz World Holdings (BOTX) Price to Earnings (2020 - 2025)
Datz World Holdings' Price to Earnings came in at 6278.09 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 312.6% from the prior quarter.
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Analysis
Datz World Holdings (BOTX) Price to Earnings (2020 - 2025) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Datz World Holdings' Price to Earnings was 1197.76.
- Going back by fiscal year, Price to Earnings was 822.15 in FY2022.
- The fiscal Q2 2026 figure represents the highest quarterly Price to Earnings in data going back to fiscal Q4 2020.
- Business Quant data shows BOTX's Price to Earnings at 1521.66 (Q1 2026), 1197.76 (Q4 2025) and 776.09 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Datz World Holdings | 23.02 Mn | 19.69 Mn | 445,134.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6,278.09 |
| Sep 30, 2025 | 1,521.66 |
| Jun 30, 2025 | 1,197.76 |
| Mar 31, 2025 | 776.09 |
| Jun 30, 2022 | 822.15 |
| Mar 31, 2022 | 1,185.56 |
| Dec 31, 2021 | 978.62 |
| Sep 30, 2020 | 304.94 |
| Jun 30, 2020 | 773.54 |
API Access
Datz World Holdings 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=BOTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "BOTX", "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=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();