Datz World Holdings (BOTX) EV to EBITDA (2023 - 2025)
Datz World Holdings' EV to EBITDA came in at 706.80 for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 36.4% from 518.01 a year earlier and up 54.9% from the prior quarter.
Datz World Holdings (BOTX) EV to EBITDA (2023 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Datz World Holdings reported EV to EBITDA of 701.44, up 35.7% year-over-year; for FY2025 (ended Jun 30, 2025), it was 408.88, down 95.3% from FY2024.
- Going back by fiscal year, EV to EBITDA was 8706.45 in FY2024 (+713.3%) and 1070.53 in FY2023.
- The fiscal Q2 2026 figure represents the highest quarterly EV to EBITDA since fiscal Q1 2025.
- Year-over-year, EV to EBITDA increased in two of the last five quarters, with growth averaging 12.0%.
- Business Quant data shows BOTX's EV to EBITDA at 456.29 (Q1 2026), 408.88 (Q4 2025) and 337.65 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Datz World Holdings | 23.02 Mn | 19.69 Mn | 445,134.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 706.80 |
| Sep 30, 2025 | 456.29 |
| Jun 30, 2025 | 408.88 |
| Mar 31, 2025 | 337.65 |
| Dec 31, 2024 | 518.01 |
| Sep 30, 2024 | 834.09 |
| Jun 30, 2024 | 8,705.72 |
| Sep 30, 2023 | 4,185.09 |
| Jun 30, 2023 | 2,528.59 |
| Mar 31, 2023 | 4,950.32 |
Datz World Holdings 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=BOTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();