Datz World Holdings (BOTX) Total Liabilities (2015 - 2025)
Datz World Holdings (BOTX) posted Total Liabilities of $2.52 million for fiscal Q2 2026 (quarter ended Dec 31, 2025), up 1.9% from $2.47 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Datz World Holdings (BOTX) Total Liabilities (2015 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datz World Holdings' Total Liabilities came in at $2.5 million, down 2.0% from FY2024.
- Annual Total Liabilities has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -21.1% (FY2020 to FY2025).
- In prior fiscal years, Datz World Holdings' Total Liabilities was $2.56 million in FY2024 (-18.0%), $3.11 million in FY2023 (-17.6%), $3.78 million in FY2022 (-64.4%) and $10.63 million in FY2021 (+29.6%).
- The fiscal Q2 2026 figure stands as the highest quarterly Total Liabilities since fiscal Q4 2024.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 10.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2021, with growth of 261.4%; the weakest was fiscal Q1 2022, with a decline of 94.1%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $2.45 million (Q1 2026), $2.5 million (Q4 2025) and $2.43 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Datz World Holdings | 23.02 Mn | 19.69 Mn | 445,134.00 | 2.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.52 Mn |
| Sep 30, 2025 | 2.45 Mn |
| Jun 30, 2025 | 2.50 Mn |
| Mar 31, 2025 | 2.43 Mn |
| Dec 31, 2024 | 2.47 Mn |
| Sep 30, 2024 | 2.45 Mn |
| Jun 30, 2024 | 2.56 Mn |
| Mar 31, 2024 | 2.84 Mn |
| Dec 31, 2023 | 2.98 Mn |
| Sep 30, 2023 | 2.98 Mn |
| Jun 30, 2023 | 3.11 Mn |
| Mar 31, 2023 | 3.39 Mn |
| Dec 31, 2022 | 3.23 Mn |
| Sep 30, 2022 | 3.51 Mn |
| Jun 30, 2022 | 3.78 Mn |
| Mar 31, 2022 | 3.70 Mn |
| Dec 31, 2021 | 3.64 Mn |
| Sep 30, 2021 | 73,352.00 |
| Jun 30, 2021 | 10.63 Mn |
| Mar 31, 2021 | 11.72 Mn |
API Access
Datz World Holdings Total Liabilities 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=total-liabilities&ticker=BOTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();