Datz World Holdings (BOTX) Cash & Equivalents (2015 - 2026)
Datz World Holdings' Cash & Equivalents came in at $956,154 for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 60.6% from $595,205 a year earlier but down 1.3% from the prior quarter.
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Analysis
Datz World Holdings (BOTX) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Datz World Holdings' Cash & Equivalents was $853,759, up 416.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $165,332 in FY2024 (-62.9%), $445,712 in FY2023 (+21.4%), $367,246 in FY2022 (-46.4%) and $684,639 in FY2021 (-47.7%).
- The five-year range for quarterly Cash & Equivalents is $155,942 (fiscal Q3 2024) to $969,092 (fiscal Q2 2026).
- Year-over-year, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 152.3% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2025 (growth of 416.4%), and the weakest in fiscal Q3 2024 (a decline of 64.1%).
- Business Quant data shows BOTX's Cash & Equivalents at $969,092 (Q2 2026), $912,459 (Q1 2026) and $853,759 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 3.62 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 36.37 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 10.62 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 8.31 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 3.28 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 2.39 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | 291.59 Mn |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 2.50 Bn |
| 10 | Datz World Holdings | 16.01 Mn | 12.32 Mn | 605,453.00 | 956,154.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 956,154.00 |
| Dec 31, 2025 | 969,092.00 |
| Sep 30, 2025 | 912,459.00 |
| Jun 30, 2025 | 853,759.00 |
| Mar 31, 2025 | 595,205.00 |
| Dec 31, 2024 | 450,481.00 |
| Sep 30, 2024 | 231,381.00 |
| Jun 30, 2024 | 165,332.00 |
| Mar 31, 2024 | 155,942.00 |
| Dec 31, 2023 | 226,681.00 |
| Sep 30, 2023 | 202,931.00 |
| Jun 30, 2023 | 445,712.00 |
| Mar 31, 2023 | 434,933.00 |
| Dec 31, 2022 | 298,243.00 |
| Sep 30, 2022 | 225,321.00 |
| Jun 30, 2022 | 367,246.00 |
| Mar 31, 2022 | 429,442.00 |
| Dec 31, 2021 | 452,251.00 |
| Sep 30, 2021 | 568,148.00 |
| Jun 30, 2021 | 684,639.00 |
API Access
Datz World Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=BOTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();