Data443 Risk Mitigation, Inc. (ATDS) Other Operating Expenses (2018 - 2026)
Data443 Risk Mitigation's Other Operating Expenses was $28,760 in Q2 2026, down 46.1% from $53,314 a year earlier.
Data443 Risk Mitigation, Inc. (ATDS) Other Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Data443 Risk Mitigation's Other Operating Expenses was $85,946 through Jun 30, 2026, down 74.2% year-over-year; for FY2025, it came in at $76,110, down 88.1% from FY2024.
- Other Operating Expenses shows a three-year compound annual growth rate of -31.0% (FY2022 to FY2025).
- In earlier years, Other Operating Expenses was $637,290 in FY2024 (+30.6%), $487,971 in FY2023 (+110.8%) and $231,472 in FY2022.
- Quarterly Other Operating Expenses has moved between -$44,782 (Q4 2025) and $356,988 (Q4 2023) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in 1 of the last six quarters, with an average decline of 27.3%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2024 (growth of 786.1%); the worst was Q1 2025 (a decline of 93.4%).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28,760.00 |
| Dec 31, 2025 | -44,782.00 |
| Sep 30, 2025 | 48,654.00 |
| Jun 30, 2025 | 53,314.00 |
| Mar 31, 2025 | 18,924.00 |
| Dec 31, 2024 | 232,034.00 |
| Sep 30, 2024 | 28,845.00 |
| Jun 30, 2024 | 91,302.00 |
| Mar 31, 2024 | 285,109.00 |
| Dec 31, 2023 | 356,988.00 |
| Sep 30, 2023 | 34,430.00 |
| Jun 30, 2023 | 64,379.00 |
| Mar 31, 2023 | 32,174.00 |
| Dec 31, 2022 | 10,513.00 |
| Sep 30, 2022 | 40,929.00 |
| Jun 30, 2022 | 59,635.00 |
| Mar 31, 2022 | 120,395.00 |
| Sep 30, 2020 | 3,010.00 |
| Jun 30, 2020 | 27,393.00 |
| Mar 31, 2020 | 120,818.00 |
Data443 Risk Mitigation, Inc. Other 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=other-operating-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "ATDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();