Data443 Risk Mitigation, Inc. (ATDS) Operating Expenses (2018 - 2026)
Data443 Risk Mitigation (ATDS) posted Operating Expenses of $560,777 for Q2 2026, down 54.5% from $1.23 million a year earlier.
Data443 Risk Mitigation, Inc. (ATDS) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Data443 Risk Mitigation was $3.84 million, down 32.9% year-over-year; for FY2025, it was $4.42 million, down 25.3% from FY2024.
- Annual Operating Expenses shows a three-year compound annual growth rate of -8.6% (FY2022 to FY2025).
- In prior years, Data443 Risk Mitigation's Operating Expenses was $5.91 million in FY2024 (-10.9%), $6.64 million in FY2023 (+14.7%) and $5.78 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q4 2018.
- On a year-over-year basis, Operating Expenses increased in two of the last seven quarters, with an average decline of 21.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 118.2%; the weakest was Q2 2026, with a decline of 54.5%.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 560,777.00 |
| Dec 31, 2025 | 941,997.00 |
| Sep 30, 2025 | 1.11 Mn |
| Jun 30, 2025 | 1.23 Mn |
| Mar 31, 2025 | 1.14 Mn |
| Dec 31, 2024 | 1.77 Mn |
| Sep 30, 2024 | 1.59 Mn |
| Jun 30, 2024 | 1.10 Mn |
| Mar 31, 2024 | 1.46 Mn |
| Dec 31, 2023 | 2.00 Mn |
| Sep 30, 2023 | 1.51 Mn |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 1.43 Mn |
| Dec 31, 2022 | 916,083.00 |
| Sep 30, 2022 | 1.60 Mn |
| Jun 30, 2022 | 2.18 Mn |
| Mar 31, 2022 | 1.09 Mn |
| Sep 30, 2020 | 861,215.00 |
| Jun 30, 2020 | 1.69 Mn |
| Mar 31, 2020 | 1.55 Mn |
Data443 Risk Mitigation, Inc. 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=ATDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();