Datz World Holdings (BOTX) Enterprise Value (2017 - 2025)
Datz World Holdings' Enterprise Value came in at $311.25 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 0.2% from $311.77 million a year earlier and unchanged from the prior quarter.
Datz World Holdings (BOTX) Enterprise Value (2017 - 2025) Analysis & Trends
Over the trailing twelve months to Dec 31, 2025, Datz World Holdings reported Enterprise Value of $308.89 million, down 0.7% year-over-year; for FY2025 (ended Jun 30, 2025), it was $311.37 million, down 0.2% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of -20.9% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $312.06 million in FY2024 (-71.7%), $1.1 billion in FY2023 (+40.2%), $785.36 million in FY2022 (-52.6%) and $1.66 billion in FY2021 (+64.8%).
- The fiscal Q2 2026 figure represents the lowest quarterly Enterprise Value in data going back to fiscal Q4 2017.
- Year-over-year, Enterprise Value has declined for nine consecutive quarters, with an average decline of 36.7% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2021 (growth of 92.0%), and the weakest in fiscal Q3 2024 (a decline of 73.6%).
- Business Quant data shows BOTX's Enterprise Value at $311.31 million (Q1 2026), $311.37 million (Q4 2025) and $311.63 million (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 | 311.25 Mn |
| Sep 30, 2025 | 311.31 Mn |
| Jun 30, 2025 | 311.37 Mn |
| Mar 31, 2025 | 311.63 Mn |
| Dec 31, 2024 | 311.77 Mn |
| Sep 30, 2024 | 311.99 Mn |
| Jun 30, 2024 | 312.06 Mn |
| Mar 31, 2024 | 452.17 Mn |
| Dec 31, 2023 | 604.30 Mn |
| Sep 30, 2023 | 977.18 Mn |
| Jun 30, 2023 | 1.10 Bn |
| Mar 31, 2023 | 1.71 Bn |
| Dec 31, 2022 | 830.27 Mn |
| Sep 30, 2022 | 605.31 Mn |
| Jun 30, 2022 | 785.36 Mn |
| Mar 31, 2022 | 2.11 Bn |
| Dec 31, 2021 | 739.59 Mn |
| Sep 30, 2021 | 902.31 Mn |
| Jun 30, 2021 | 1.66 Bn |
| Mar 31, 2021 | 2.07 Bn |
Datz World Holdings Enterprise Value 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=enterprise-value&ticker=BOTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();