Data443 Risk Mitigation, Inc. (ATDS) Interest Expenses (2018 - 2026)
Data443 Risk Mitigation (ATDS) reported Interest Expenses of $385,064 for Q2 2026, up 32.3% from $291,121 a year earlier.
Data443 Risk Mitigation, Inc. (ATDS) Interest Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Data443 Risk Mitigation's Interest Expenses came in at $1.3 million, down 15.7% year-over-year; for FY2025, it was $1.25 million, down 54.5% from FY2024.
- Interest Expenses has a four-year compound annual growth rate of 204.3% (FY2021 to FY2025).
- By year, Interest Expenses came in at $2.74 million in FY2024 (-57.3%), $6.42 million in FY2023 (+7.3%), $5.98 million in FY2022 and $14,556 in FY2021.
- Five-year quarterly Interest Expenses spans a low of $58,841 in Q3 2025 and a high of $3.49 million in Q2 2023.
- Year over year, Interest Expenses gained in two of the last seven quarters, with an average decline of 40.4%.
- The high point for year-over-year Interest Expenses in five years was Q2 2023 (growth of 270.1%); the low point 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. 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=interest-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=ATDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();