Datz World Holdings (BOTX) Operating Expenses (2015 - 2025)
Datz World Holdings (BOTX) posted Operating Expenses of $511,014 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 22.3% from $657,530 a year earlier and down 2.2% from the prior quarter.
Datz World Holdings (BOTX) Operating Expenses (2015 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Operating Expenses at Datz World Holdings was $2.18 million, down 17.7% year-over-year; for FY2025 (ended Jun 30, 2025), it came in at $2.52 million, down 4.4% from FY2024.
- Annual Operating Expenses has declined for six consecutive fiscal years, with a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- In prior fiscal years, Datz World Holdings' Operating Expenses was $2.64 million in FY2024 (-1.1%), $2.67 million in FY2023 (-1.1%), $2.7 million in FY2022 (-11.7%) and $3.05 million in FY2021 (-41.8%).
- The fiscal Q2 2026 figure stands as the lowest quarterly Operating Expenses since fiscal Q2 2018.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 9.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2022, with growth of 28.7%; the weakest was fiscal Q3 2021, with a decline of 43.1%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $522,663 (Q1 2026), $589,346 (Q4 2025) and $558,963 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Datz World Holdings | 23.02 Mn | 19.69 Mn | 445,134.00 | 511,014.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 511,014.00 |
| Sep 30, 2025 | 522,663.00 |
| Jun 30, 2025 | 589,346.00 |
| Mar 31, 2025 | 558,963.00 |
| Dec 31, 2024 | 657,530.00 |
| Sep 30, 2024 | 716,794.00 |
| Jun 30, 2024 | 573,028.00 |
| Mar 31, 2024 | 702,483.00 |
| Dec 31, 2023 | 645,744.00 |
| Sep 30, 2023 | 717,287.00 |
| Jun 30, 2023 | 675,202.00 |
| Mar 31, 2023 | 651,521.00 |
| Dec 31, 2022 | 579,978.00 |
| Sep 30, 2022 | 635,136.00 |
| Jun 30, 2022 | 624,916.00 |
| Mar 31, 2022 | 513,469.00 |
| Dec 31, 2021 | 750,675.00 |
| Sep 30, 2021 | 809,639.00 |
| Jun 30, 2021 | 948,580.00 |
| Mar 31, 2021 | 600,733.00 |
Datz World Holdings Operating 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=operating-expenses&ticker=BOTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();