Datz World Holdings (BOTX) Selling, General & Administrative (2016 - 2026)
Analysis
Datz World Holdings (BOTX) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 228.85 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 376.00 Mn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 473.98 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 725.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 1.06 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 283.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 35.91 Mn |
| 10 | Datz World Holdings | 16.01 Mn | 12.32 Mn | 605,453.00 | 335,618.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 335,618.00 |
| Dec 31, 2025 | 394,817.00 |
| Sep 30, 2025 | 414,044.00 |
| Jun 30, 2025 | 475,664.00 |
| Mar 31, 2025 | 376,128.00 |
| Dec 31, 2024 | 476,735.00 |
| Sep 30, 2024 | 541,066.00 |
| Jun 30, 2024 | 361,926.00 |
| Mar 31, 2024 | 475,155.00 |
| Dec 31, 2023 | 464,365.00 |
| Sep 30, 2023 | 520,916.00 |
| Jun 30, 2023 | 1.41 Mn |
| Mar 31, 2023 | 154,487.00 |
| Dec 31, 2022 | 195,196.00 |
| Sep 30, 2022 | 163,163.00 |
| Jun 30, 2022 | 1.46 Mn |
| Mar 31, 2022 | 165,679.00 |
| Dec 31, 2021 | 150,078.00 |
| Sep 30, 2021 | 148,554.00 |
| Jun 30, 2021 | 1.69 Mn |
API Access
Datz World Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=BOTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();