Datz World Holdings (BOTX) Accumulated Expenses (2015 - 2025)
Datz World Holdings' Accumulated Expenses was $994,533 in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 0.8% from $986,724 a year earlier and up 2.4% from the prior quarter.
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Analysis
Datz World Holdings (BOTX) Accumulated Expenses (2015 - 2025) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Accumulated Expenses at Datz World Holdings came in at $973,438, up 4.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $934,279 in FY2024 (-19.9%), $1.17 million in FY2023 (-1.0%), $1.18 million in FY2022 (+22.9%) and $958,451 in FY2021 (+131.9%).
- The fiscal Q2 2026 figure marks the highest quarterly Accumulated Expenses since fiscal Q3 2024.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 6.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2021 (growth of 141.8%); the worst was fiscal Q4 2024 (a decline of 19.9%).
- Per Business Quant data, BOTX's Accumulated Expenses in the three fiscal quarters before Q2 2026 was $971,434 (Q1 2026), $973,438 (Q4 2025) and $947,592 (Q3 2025).
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 | 994,533.00 |
| Sep 30, 2025 | 971,434.00 |
| Jun 30, 2025 | 973,438.00 |
| Mar 31, 2025 | 947,592.00 |
| Dec 31, 2024 | 986,724.00 |
| Sep 30, 2024 | 967,026.00 |
| Jun 30, 2024 | 934,279.00 |
| Mar 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 1.09 Mn |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 939,462.00 |
| Sep 30, 2022 | 1.05 Mn |
| Jun 30, 2022 | 1.18 Mn |
| Mar 31, 2022 | 994,132.00 |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | 934,420.00 |
| Jun 30, 2021 | 958,451.00 |
| Mar 31, 2021 | 866,189.00 |
API Access
Datz World Holdings Accumulated Expenses 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=accumulated-expenses&ticker=BOTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();