Datz World Holdings (BOTX) Gross Margin (2015 - 2025)
Datz World Holdings' Gross Margin was 46.23% in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 2.31 percentage points from 43.92% a year earlier but down 4.55 percentage points from the prior quarter.
Datz World Holdings (BOTX) Gross Margin (2015 - 2025) Analysis & Trends
On a trailing twelve-month basis, Datz World Holdings' Gross Margin was 44.49% through Dec 31, 2025, up 1.00 percentage points year-over-year; for FY2025 (ended Jun 30, 2025), it came in at 43.65%, up 7.02 percentage points from FY2024.
- Gross Margin shows a five-year change of +13.57 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Gross Margin was 36.63% in FY2024 (-7.52 pp), 44.16% in FY2023 (+15.44 pp), 28.72% in FY2022 (+1.60 pp) and 27.12% in FY2021 (-2.96 pp).
- Quarterly Gross Margin has moved between 25.49% (fiscal Q3 2021) and 53.37% (fiscal Q2 2023) over five years.
- Compared with a year earlier, Gross Margin was higher in six of the last eight quarters, with an average year-over-year change of +4.63 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q2 2023 (a gain of 25.04 percentage points); the worst was fiscal Q4 2021 (a drop of 23.02 percentage points).
- Per Business Quant data, BOTX's Gross Margin in the three fiscal quarters before Q2 2026 was 50.78% (Q1 2026), 36.04% (Q4 2025) and 46.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 66.64% |
| 10 | Datz World Holdings | 23.02 Mn | 19.69 Mn | 445,134.00 | 46.23% |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 46.23% |
| Sep 30, 2025 | 50.78% |
| Jun 30, 2025 | 36.04% |
| Mar 31, 2025 | 46.91% |
| Dec 31, 2024 | 43.92% |
| Sep 30, 2024 | 46.55% |
| Jun 30, 2024 | 45.58% |
| Mar 31, 2024 | 37.62% |
| Dec 31, 2023 | 31.28% |
| Sep 30, 2023 | 30.46% |
| Jun 30, 2023 | 40.99% |
| Mar 31, 2023 | 40.15% |
| Dec 31, 2022 | 53.37% |
| Sep 30, 2022 | 42.19% |
| Jun 30, 2022 | 30.34% |
| Mar 31, 2022 | 29.74% |
| Dec 31, 2021 | 28.34% |
| Sep 30, 2021 | 25.97% |
| Jun 30, 2021 | 32.36% |
| Mar 31, 2021 | 25.49% |
Datz World Holdings Gross Margin 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=gross-margin&ticker=BOTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=BOTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();