Data443 Risk Mitigation, Inc. (ATDS) Non Operating Interest Expenses (2018 - 2026)
Data443 Risk Mitigation's Non Operating Interest Expenses was $385,064 in Q2 2026, up 32.3% from $291,121 a year earlier.
Data443 Risk Mitigation, Inc. (ATDS) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Data443 Risk Mitigation's Non Operating Interest Expenses was $1.3 million through Jun 30, 2026, down 15.7% year-over-year; for FY2025, it came in at $1.25 million, down 54.5% from FY2024.
- Non Operating Interest Expenses shows a four-year compound annual growth rate of 204.3% (FY2021 to FY2025).
- In earlier years, Non Operating Interest Expenses was $2.74 million in FY2024 (-57.3%), $6.42 million in FY2023 (+7.3%), $5.98 million in FY2022 and $14,556 in FY2021.
- Quarterly Non Operating Interest Expenses has moved between $58,841 (Q3 2025) and $3.49 million (Q2 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in two of the last seven quarters, with an average decline of 40.4%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2023 (growth of 270.1%); the worst was Q3 2025 (a decline of 87.4%).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 385,064.00 |
| Dec 31, 2025 | 566,403.00 |
| Sep 30, 2025 | 58,841.00 |
| Jun 30, 2025 | 291,121.00 |
| Mar 31, 2025 | 331,293.00 |
| Dec 31, 2024 | 454,883.00 |
| Sep 30, 2024 | 466,200.00 |
| Jun 30, 2024 | 755,446.00 |
| Mar 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 1.47 Mn |
| Sep 30, 2023 | 983,100.00 |
| Jun 30, 2023 | 3.49 Mn |
| Mar 31, 2023 | 475,734.00 |
| Dec 31, 2022 | 3.15 Mn |
| Sep 30, 2022 | 796,057.00 |
| Jun 30, 2022 | 942,753.00 |
| Mar 31, 2022 | 1.09 Mn |
| Sep 30, 2020 | 618,934.00 |
| Jun 30, 2020 | 553,765.00 |
| Mar 31, 2020 | 518,400.00 |
Data443 Risk Mitigation, Inc. Non Operating Interest 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=non-operating-interest-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();